Journal
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2024 |
MuDE: Multi-Agent Decomposed Reward-Based Exploration
Byunghyun Yoo
Neural Networks, v.179, pp.1-13 |
0 |
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Journal
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2024 |
Dialog‐based multi‐item recommendation using automatic evaluation
Euisok Chung
ETRI Journal, v.46, no.2, pp.277-289 |
0 |
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Journal
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2023 |
A Survey on Communication Algorithms for Multi-Agent Reinforcement Learning
서승우
전자통신동향분석, v.38, no.4, pp.104-115 |
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Journal
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2023 |
A Survey on Recent Advances in Multi-Agent Reinforcement Learning : Focusing on Decentralized Training with Decentralized Execution Framework
신영환
전자통신동향분석, v.38, no.4, pp.95-103 |
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Conference
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2022 |
On fashion coordination dataset development and the corresponding continual learning systems
한란
한국소프트웨어 종합 학술 대회 2022, pp.719-721 |
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Journal
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2022 |
CuMARL: Curiosity-Based Learning in Multiagent Reinforcement Learning
Devarani Devi Ningombam
IEEE Access, v.10, pp.87254-87265 |
6 |
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Journal
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2022 |
A Novel and Efficient Influence-Seeking Exploration in Deep Multiagent Reinforcement Learning
Byunghyun Yoo
IEEE Access, v.10, pp.47741-47753 |
6 |
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Conference
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2021 |
Continual Learning by Using the One-class Learning based on the Class Similarity
한란
한국소프트웨어 종합 학술 대회 2021, pp.679-681 |
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Conference
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2021 |
Acceleration Performance Improvement of Deep Learning Optimizer Using Natural Gradient-based Preconditioner
송화전
한국컴퓨터 종합 학술대회 2021, pp.1-2 |
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Journal
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2020 |
A Survey on Recent Advances in Multi-Agent Reinforcement Learning
유병현
전자통신동향분석, v.35, no.6, pp.137-149 |
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Conference
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2020 |
Multiple output Neural Network based on Multi-Level Verification Learning
송화전
한국 컴퓨터 종합 학술 대회 2020, pp.551-552 |
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