|
Journal
|
2025 |
SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent
Rabbiya Younas IEEE Access, v.13, pp.35674-35687 |
2 |
원문
|
|
Journal
|
2025 |
SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent
Hafiz Muhammad Raza Ur Rehman IEEE Access, v.13, pp.35674-35687 |
2 |
원문
|
|
Journal
|
2024 |
MuDE: Multi-Agent Decomposed Reward-Based Exploration
Yoo Byunghyun Neural Networks, v.179, pp.1-13 |
2 |
원문
|
|
Journal
|
2022 |
A Novel and Efficient Influence-Seeking Exploration in Deep Multiagent Reinforcement Learning
Yoo Byunghyun IEEE Access, v.10, pp.47741-47753 |
7 |
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 |
11 |
원문
|
|
Conference
|
2019 |
An Analysis of the Effects of Physical Abilities on RTS Game Outcome Using Machine Learning Approach
Daewook Kim International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.929-933 |
1 |
원문
|