Conference
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2024 |
Efficient Fine-Tuning of Behavior Cloned Policies with Reinforcement Learning from Limited Demonstrations
Samyeul Noh Conference on Neural Information Processing Systems (NeurIPS) 2024 : Workshop, pp.1-7 |
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Journal
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2024 |
Network function parallelism configuration with segment routing over IPv6 based on deep reinforcement learning
Jang Seokwon ETRI Journal, v.권호미정, pp.1-12 |
0 |
원문
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Journal
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2024 |
Exploring the Preference for Discrete over Continuous Reinforcement Learning in Energy Storage Arbitrage
Jaeik Jeong Energies, v.17, no.23, pp.1-17 |
0 |
원문
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Journal
|
2024 |
Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
최윤호 Communications Medicine, v.4, pp.1-11 |
0 |
원문
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Conference
|
2024 |
Reinforcement Learning-Based HVAC System Operation Under Limited Data Acquisition
Ye-Eun Jang International Conference on Renewable Energy Research and Applications (ICRERA) 2024, pp.1-5 |
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Conference
|
2024 |
Efficient Deep Reinforcement Learning Framework in Edge Computing Environments
Wanseon Lim International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.689-694 |
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Conference
|
2024 |
Exploring Visual Reinforcement Learning for Sample-Efficient Robotic Manipulation
Samyeul Noh International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.207-210 |
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Conference
|
2024 |
Analysis of Training Performance of Deep Reinforcement Learning on Single Board Computers
Wanseon Lim International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1349-1354 |
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Conference
|
2024 |
Reinforcement Learning-Based Beam Selection in mmWave Networks Using Madrid Grid
Kim Nam I International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1123-1124 |
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Conference
|
2024 |
Sim-to-Real Policy Transfer in Deep Reinforcement Learning
장윤수 International Conference on Control, Automation and Systems (ICCAS) 2024, pp.630-635 |
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Conference
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2024 |
Learning Dexterous Object Manipulation with a Robotic Hand via Goal-Conditioned Visual Reinforcement Learning Using Limited Demonstrations
Samyeul Noh European Conference on Computer Vision (ECCV) 2024, pp.1-4 |
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Journal
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2024 |
Judgement-Based Deep Q-Learning Framework for Interference Management in Small Cell Networks
윤필도 IEEE Access, v.12, pp.136771-136782 |
0 |
원문
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Journal
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2024 |
Deep reinforcement learning for base station switching scheme with federated LSTM‐based traffic predictions
Park Hyebin ETRI Journal, v.46, no.3, pp.379-391 |
0 |
원문
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Journal
|
2024 |
Efficient Deep Reinforcement Learning under Task Variations via Knowledge Transfer for Drone Control
장수영 ICT EXPRESS, v.10, no.3, pp.576-582 |
0 |
원문
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Conference
|
2024 |
Design of Formation Control Strategies between User and Guide Dog Robot
Jeong Yongseop 대한전자공학회 학술 대회 (하계) 2024, pp.1-4 |
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Conference
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2024 |
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
Jaeik Jeong International Conference on Learning Representations (ICLR) 2024, pp.1-6 |
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Journal
|
2024 |
Deep Reinforcement Learning-Empowered Cost-Effective Federated Video Surveillance Management Framework
Dilshod Bazarov Ravshan Ugli Sensors, v.24, no.7, pp.1-19 |
0 |
원문
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Journal
|
2024 |
Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning
박성민 IEEE Access, v.12, pp.36055-36065 |
1 |
원문
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Journal
|
2024 |
Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning
김형민 IEEE Access, v.12, pp.36055-36065 |
1 |
원문
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Journal
|
2024 |
Reinforcement Learning to Achieve Real-Time Control of Triple Inverted Pendulum
Baek Jongchan Engineering Applications of Artificial Intelligence, v.128, pp.1-10 |
12 |
원문
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Conference
|
2023 |
An Investigation into Value-Implicit Pre-Training for Task-Agnostic, Sample-Efficient Goal-Conditioned Reinforcement Learning
Samyeul Noh Conference on Neural Information Processing Systems (NeurIPS) 2023 : Workshop, pp.1-8 |
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Conference
|
2023 |
An Empirical Investigation of Visual Reinforcement Learning for 3D Continuous Control
Samyeul Noh International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1699-1702 |
0 |
원문
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Conference
|
2023 |
An Analysis of the Impact of Dataset Characteristics on Data-Driven Reinforcement Learning for a Robotic Long-Horizon Task
Ingook Jang International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1-3 |
0 |
원문
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Conference
|
2023 |
Stable Robotic Grasping of Target Object Using Deep Reinforcement Learning
In Jun Park International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1366-1370 |
1 |
원문
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Conference
|
2023 |
Knowledge-Based Reinforcement Learning for Industrial Robotic Assembly
In Jun Park International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1684-1689 |
1 |
원문
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Conference
|
2023 |
Coupling Vision and Proprioception for Sample-Efficient, Object-Occlusion-Robust Robotic Manipulation
Samyeul Noh International Conference on Computer Vision Workshops (ICCVW) 2023, pp.1-9 |
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Conference
|
2023 |
The effect of noise injection method on DRL-based controller robustness of human gait model
Koo Youngjun International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1677-1680 |
0 |
원문
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Conference
|
2023 |
Human Interactive Learning with Intrinsic Reward
Sung Yun Park IEEE Conference on Games (CoG) 2023, pp.1-4 |
0 |
원문
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Journal
|
2023 |
A Survey on Recent Advances in Multi-Agent Reinforcement Learning : Focusing on Decentralized Training with Decentralized Execution Framework
Shin Younghwan 전자통신동향분석, v.38, no.4, pp.95-103 |
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원문
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Journal
|
2023 |
A Survey on Communication Algorithms for Multi-Agent Reinforcement Learning
Seungwoo Seo 전자통신동향분석, v.38, no.4, pp.104-115 |
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원문
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Conference
|
2023 |
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
윤재식 International Conference on Machine Learning (ICML) 2023, pp.1-28 |
7 |
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Journal
|
2023 |
Technical Trends in Artificial Intelligence for De Novo Drug Design
Youngwoong Han 전자통신동향분석, v.38, no.3, pp.38-46 |
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원문
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Journal
|
2023 |
Dynamic Downlink Interference Management in LEO Satellite Networks Without Direct Communications
윤지현 IEEE Access, v.11, pp.24137-24148 |
5 |
원문
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Journal
|
2023 |
Multi-Agent Deep Reinforcement Learning for Interference-Aware Channel Allocation in Non-Terrestrial Networks
조연기 IEEE Communications Letters, v.27, no.3, pp.936-940 |
9 |
원문
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Conference
|
2023 |
Improving Embodied Instruction Following with Deterministic Methods
김다현 International Conference on Advanced Communications Technology (ICACT) 2023, pp.424-428 |
1 |
원문
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Journal
|
2023 |
Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network
류지혜 ELECTRONICS, v.12, no.4, pp.1-23 |
1 |
원문
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Conference
|
2022 |
Toward Effective Deep Reinforcement Learning for 3D Robotic Manipulation: Multimodal End-to-End Reinforcement Learning from Visual and Proprioceptive Feedback
Samyeul Noh Conference on Neural Information Processing Systems (NeurIPS) 2022, pp.1-18 |
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Conference
|
2022 |
Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang Conference on Neural Information Processing Systems (NeurIPS) 2022 : Workshop, pp.1-5 |
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Conference
|
2022 |
An Experimental Study of Collaborative Robot Manipulation via Multi-Agent Reinforcement Learning
Ingook Jang International Conference on Control, Automation and Systems (ICCAS) 2022, pp.1-2 |
|
|
Conference
|
2022 |
Elastic Network Cache Control Using Deep Reinforcement Learning
Chunglae Cho International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1006-1008 |
1 |
원문
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Conference
|
2022 |
Multi-Agent Learning-based Package Caching in Serverless Edge Computing
Jeon Hong Seok International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.400-402 |
2 |
원문
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Conference
|
2022 |
A study on the reward generation method to be used in reinforcement learning to reduce the peak load
Cheol-Ho Shin International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2369-2372 |
0 |
원문
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Conference
|
2022 |
Anomaly Detection for Robotic Assembly
Hyejin S. Kim International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1667-1670 |
0 |
원문
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Journal
|
2022 |
CuMARL: Curiosity-Based Learning in Multiagent Reinforcement Learning
Ningombam Devarani Devi IEEE Access, v.10, pp.87254-87265 |
6 |
원문
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Journal
|
2022 |
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
Jang Sooyoung Sensors, v.22, no.15, pp.1-14 |
4 |
원문
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Conference
|
2022 |
Intrinsic Rewards for Personalizing Agents in Reinforcement Learning
Seung-Jin Hong 대한전자공학회 학술 대회 (하계) 2022, pp.2283-2286 |
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Conference
|
2022 |
A Multi-Agent-Based Real-World Robotic Manipulation System
Samyeul Noh International Conference on Ubiquitous Robots (UR) 2022, pp.470-473 |
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Journal
|
2022 |
Utilizing Hidden Observations to Enhance the Performance of the Trained Agent
Jang Sooyoung IEEE Robotics and Automation Letters, v.7, no.3, pp.7858-7864 |
1 |
원문
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Conference
|
2022 |
Reinforcement Learning Algorithm Using Intrinsic Reward in Atari-2600
Sung Yun Park 대한전자공학회 학술 대회 (하계) 2022, pp.825-828 |
|
|
Journal
|
2022 |
A Novel and Efficient Influence-Seeking Exploration in Deep Multiagent Reinforcement Learning
Yoo Byunghyun IEEE Access, v.10, pp.47741-47753 |
6 |
원문
|
Journal
|
2022 |
Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach
김은진 IEEE Access, v.10, pp.20455-20464 |
12 |
원문
|
Journal
|
2022 |
Prioritized Environment Configuration for Drone Control with Deep Reinforcement Learning
Jang Sooyoung Human-centric Computing and Information Sciences, v.12, pp.1-16 |
7 |
원문
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Journal
|
2021 |
Avoiding collaborative paradox in multi‐agent reinforcement learning
Hyunseok Kim ETRI Journal, v.43, no.6, pp.1004-1012 |
6 |
원문
|
Conference
|
2021 |
TTL-Based Cache Utility Maximization Using Deep Reinforcement Learning
Chunglae Cho Global Communications Conference (GLOBECOM) 2021, pp.1-6 |
4 |
원문
|
Journal
|
2021 |
Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users
이원석 Sensors, v.21, no.24, pp.1-13 |
15 |
원문
|
Conference
|
2021 |
Deep Reinforcement Learning for QoS-Aware Package Caching in Serverless Edge Computing
Jeon Hong Seok Global Communications Conference (GLOBECOM) 2021, pp.1-6 |
9 |
원문
|
Conference
|
2021 |
An Efficient Policy Improvement in Human Interactive Learning Using Entropy
Sung Yun Park International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.283-286 |
0 |
원문
|
Conference
|
2021 |
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
윤원준 International Conference on Systems, Man, and Cybernetics (SMC) 2021, pp.1-8 |
9 |
원문
|
Conference
|
2021 |
Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning
박종민 International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-5 |
10 |
원문
|
Conference
|
2021 |
Multi-agent Reinforcement Learning in a Large Scale Environment via Supervisory Network and Curriculum Learning
Seung Won Do International Conference on Control, Automation and Systems (ICCAS) 2021, pp.207-210 |
5 |
원문
|
Conference
|
2021 |
Development of AI-based ESS Control Algorithm to Reduce Peak Load of Building
Cheol-Ho Shin International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1662-1665 |
2 |
원문
|
Conference
|
2021 |
Learning Cooperative Intrinsic Motivation in Multi-Agent Reinforcement Learning
Seung-Jin Hong International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1697-1699 |
0 |
원문
|
Conference
|
2021 |
Reusing Agent's Representations for Adaptation to Tuned-environment in Fighting Game
Daewook Kim International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1120-1124 |
1 |
원문
|
Journal
|
2021 |
QSOD: Hybrid Policy Gradient for Deep Multi-agent Reinforcement Learning
Hafiz Muhammad Raza Ur Rehman IEEE Access, v.9, pp.129728-129741 |
8 |
원문
|
Conference
|
2021 |
A Survey on Simulation Environments for Reinforcement Learning
Kim Tae Woo International Conference on Ubiquitous Robots (UR) 2021, pp.1-5 |
1 |
원문
|
Conference
|
2021 |
Structured World Belief for Reinforcement Learning in POMDP
Skand Peri International Conference on Machine Learning (ICML) 2021, pp.9744-9755 |
|
|
Conference
|
2021 |
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh International Conference on Machine Learning (ICML) 2021, pp.9744-9755 |
|
|
Conference
|
2021 |
An Algorithm Design of Domain Adaptation for Sim-To-Real Robot Learning Via Meta-Reinforcement Learning
Samyeul Noh International Conference on Ubiquitous Robots (UR) 2021, pp.451-452 |
|
|
Journal
|
2021 |
Anti-Adaptive Harmful Birds Repelling Method Based on Reinforcement Learning Approach
Cheol Won Lee IEEE Access, v.9, pp.60533-60563 |
6 |
원문
|
Journal
|
2021 |
Learning-based Resource Partitioning in Heterogeneous Networks with Multiple Network Operators
Chung Byung Chang IEEE Communications Letters, v.25, no.3, pp.869-873 |
0 |
원문
|
Journal
|
2020 |
A Survey on Recent Advances in Multi-Agent Reinforcement Learning
Yoo Byunghyun 전자통신동향분석, v.35, no.6, pp.137-149 |
|
원문
|
Conference
|
2020 |
Experience Augmentation for Fast Deep Reinforcement Learning
Pi Mingyu International Conference on Internet (ICONI) 2020, pp.1-2 |
|
|
Journal
|
2020 |
Multi-agent System and Reinforcement Learning Approach for Distributed Intelligence in a Flexible Smart Manufacturing System
김윤건 Journal of Manufacturing Systems, v.57, pp.440-450 |
83 |
원문
|
Conference
|
2020 |
System Overview for Multi-Task and Multi-Agent Deep Reinforcement Learning in Real Robot Environments
Samyeul Noh International Conference on Control, Automation and Systems (ICCAS) 2020, pp.1239-1240 |
|
|
Conference
|
2020 |
Learning Robot Manipulation based on Modular Reward Shaping
Seonghyun Kim International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.883-886 |
2 |
원문
|
Journal
|
2020 |
QoS-Aware Workload Distribution in Hierarchical Edge Clouds: A Reinforcement Learning Approach
Chunglae Cho IEEE Access, v.8, pp.193297-193313 |
18 |
원문
|
Conference
|
2020 |
Limit Action Space to Enhance Drone Control with Deep Reinforcement Learning
Jang Sooyoung International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1212-1215 |
1 |
원문
|
Conference
|
2020 |
Train Throughput Analysis of Distributed Reinforcement Learning
Jang Sooyoung International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1189-1192 |
0 |
원문
|
Conference
|
2020 |
An Experimental Study on Reinforcement Learning on IoT Devices with Distilled Knowledge
Ingook Jang International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.869-871 |
2 |
원문
|
Conference
|
2020 |
Learning Control Policy with Previous Experiences from Robot Simulator
Donghun Lee International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.863-865 |
2 |
원문
|
Journal
|
2020 |
Drone Simulation Technologies
Lee Soo Jeon 전자통신동향분석, v.35, no.4, pp.81-90 |
|
원문
|
Journal
|
2020 |
Knowledge Transfer for On-Device Deep Reinforcement Learning in Resource Constrained Edge Computing Systems
Ingook Jang IEEE Access, v.8, pp.146588-146597 |
28 |
원문
|
Journal
|
2020 |
Reinforcement Learning-based Path Generation using Sequential Pattern Reduction and Self-directed Curriculum Learning
Kimtaewoo IEEE Access, v.8, pp.147790-147807 |
8 |
원문
|
Journal
|
2020 |
Regularising Neural Networks for Future Trajectory Prediction via Inverse Reinforcement learning Framework
Dooseop Choi IET Computer Vision, v.14, no.5, pp.192-200 |
10 |
원문
|
Conference
|
2020 |
Mastering Fighting Game Using Deep Reinforcement Learning With Self-play
Daewook Kim Conference on Games (CoG) 2020, pp.1-8 |
10 |
원문
|
Conference
|
2020 |
Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning
Chung Hoon International Joint Conference on Neural Networks (IJCNN) 2020, pp.1-6 |
9 |
원문
|
Journal
|
2020 |
Multi-Agent Reinforcement-Learning-Based Time-Slotted Channel Hopping Medium Access Control Scheduling Scheme
Park Hui Ung IEEE Access, v.8, pp.139727-139736 |
23 |
원문
|
Journal
|
2020 |
Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System
김주봉 Sensors, v.20, no.12, pp.1-20 |
8 |
원문
|
Conference
|
2020 |
C-3PO: Cyclic-Three-Phase Optimization for Human-Robot Motion Retargeting based on Reinforcement Learning
Kimtaewoo International Conference on Robotics and Automation (ICRA) 2020, pp.8425-8432 |
15 |
원문
|
Journal
|
2020 |
Semi-Supervised Speech Recognition Acoustic Model Training Using Policy Gradient
Chung Hoon Applied Sciences, v.10, no.10, pp.1-13 |
4 |
원문
|
Conference
|
2020 |
Industrial General Reinforcement Learning Control Framework System based on Intelligent Edge
Kim Kwihoon International Conference on Advanced Communications Technology (ICACT) 2020, pp.414-418 |
4 |
원문
|
Journal
|
2019 |
Research Trends on Inverse Reinforcement Learning
Lee Sang Kwang 전자통신동향분석, v.34, no.6, pp.100-107 |
|
원문
|
Conference
|
2019 |
Improving Network Availability with Low Network Construction Cost through Deep Reinforcement Learning
Cho Choong Hee International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) 2019, pp.1-5 |
0 |
원문
|
Journal
|
2019 |
A Survey on Deep Reinforcement Learning Libraries
Seungjae Shin 전자통신동향분석, v.34, no.6, pp.87-99 |
|
원문
|
Conference
|
2019 |
TeachMe: Three-phase Learning Framework for Robotic Motion Imitation based on Interactive Teaching and Reinforcement Learning
Kimtaewoo International Symposium on Robot and Human Interactive Communication (RO-MAN) 2019, pp.1-8 |
3 |
원문
|
Conference
|
2019 |
Periodic Communication for Distributed Multi-agent Reinforcement Learning under Partially Observable Environment
Seonghyun Kim International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.940-942 |
1 |
원문
|
Conference
|
2019 |
Empirical Evaluation of Activation Functions and Kernel Initializers on Deep Reinforcement Learning
Jang Sooyoung International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1140-1142 |
7 |
원문
|
Journal
|
2019 |
Recent Research & Development Trends in Automated Machine Learning
Moon Yong Hyuk 전자통신동향분석, v.34, no.4, pp.32-42 |
|
원문
|
Journal
|
2019 |
Research Trends on Deep Reinforcement Learning
Jang Sooyoung 전자통신동향분석, v.34, no.4, pp.1-14 |
|
원문
|
Journal
|
2019 |
Trends in Deep-neural-network-based Dialogue Systems
Kwon Oh Woog 전자통신동향분석, v.34, no.4, pp.55-64 |
|
원문
|
Conference
|
2019 |
Effects of Hyper-Parameters for Deep Reinforcement Learning in Robotic Motion Mimicry: A Preliminary Study
Kimtaewoo International Conference on Ubiquitous Robots (UR) 2019, pp.228-235 |
3 |
원문
|
Conference
|
2019 |
Virtual-to-Real Transfer via Dynamics Models (poster)
Jang Sooyoung International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019, pp.516-517 |
0 |
원문
|
Conference
|
2019 |
An End-to-End Trainable Task-oriented Dialog System with Human Feedback
Teakgyu Hong AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues (DEEP-DIAL) 2019, pp.1-7 |
|
|
Journal
|
2018 |
Semidynamic Cell-Clustering Algorithm Based on Reinforcement Learning in Cooperative Transmission System
Chung Byung Chang IEEE Systems Journal, v.12, no.4, pp.3853-3856 |
3 |
원문
|
Conference
|
2018 |
Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning
Dooseop Choi International Conference on Machine Learning and Applications (ICMLA) 2018, pp.125-130 |
13 |
원문
|
Conference
|
2018 |
An Agent-Based Simulation Modeling with Deep Reinforcement Learning for Smart Traffic Signal Control
Ingook Jang International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1028-1030 |
22 |
원문
|
Conference
|
2018 |
Multiagent Reinforcement Learning in Escape Scenario
Donghun Lee International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1031-1033 |
0 |
원문
|
Conference
|
2018 |
A Scalable Client-server based Multi-drone Simulation Architecture Supporting Efficient Machine Learning
Lee Soo Jeon International Conference on Applied Computing (AC) 2018, pp.380-384 |
0 |
|
Conference
|
2018 |
Data Assimilation Technique for Social Agent-Based Simulation by using Reinforcement Learning
Kang Dong-Oh International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2018, pp.220-221 |
4 |
원문
|
Journal
|
2018 |
Action-Driven Visual Object Tracking With Deep Reinforcement Learning
윤상두 IEEE Transactions on Neural Networks and Learning Systems, v.29, no.6, pp.2239-3352 |
59 |
원문
|
Conference
|
2017 |
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning
윤상두 Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pp.1349-1358 |
481 |
원문
|
Journal
|
2016 |
Interactive Human Intention Reading by Learning Hierarchical Behavior Knowledge Networks for Human-Robot Interaction
Ji-Hyeong Han ETRI Journal, v.38, no.6, pp.1229-1239 |
7 |
원문
|
Conference
|
2012 |
Autonomous Behavior Control Subsystem for Robotic Computer
Vladimirov Blagovest Iordanov International Symposium on Robot and Human Interactive Communication (RO-MAN) 2012, pp.906-912 |
0 |
|
Conference
|
2007 |
Fast Reinforcement Learning Using Stochastic Shortest Paths for a Mobile Robot
Kwon Wooyoung International Conference on Intelligent Robots and Systems (IROS) 2007, pp.82-87 |
11 |
원문
|
Conference
|
2007 |
A Service Recommendation Using Reinforcement Learning for Network-based Robots in Ubiquitous Computing Environments
Moon Ae Kyeung International Symposium on Robot and Human Interactive Communication (RO-MAN) 2007, pp.821-826 |
5 |
원문
|
Conference
|
2006 |
Reinforcement Learning of Intelligent Characters in Fighting Action Games
Cho Byeong-Heon International Conference on Entertainment Computing (ICEC) 2006 (LNCS 4161), v.4161, pp.310-313 |
2 |
원문
|
Conference
|
2003 |
Multiple Reward Reinforcement learning control of a mobile robot in home network environment
Kang Dong-Oh International Conference on Control, Automation and Systems (ICCAS) 2003, pp.1300-1304 |
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