7 citations · 21 across the 5 of their papers we have counts for
5 papers
Self-Motivated Multi-Agent Exploration
Shaowei Zhang, Jiahan Cao, Lei Yuan +2
In cooperative multi-agent reinforcement learning (CMARL), it is critical for agents to achieve a balance between self-exploration and team collaboration. However, agents can hardl…
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
Jiahan Cao, Lei Yuan, Jianhao Wang +4
In cooperative multi-agent reinforcement learning (MARL), where agents only have access to partial observations, efficiently leveraging local information is critical. During long-t…
Context-Aware Sparse Deep Coordination Graphs
Tonghan Wang, Liang Zeng, Weijun Dong +3
Learning sparse coordination graphs adaptive to the coordination dynamics among agents is a long-standing problem in cooperative multi-agent learning. This paper studies this probl…
Active Hierarchical Exploration with Stable Subgoal Representation Learning
Siyuan Li, Jin Zhang, Jianhao Wang +2
Goal-conditioned hierarchical reinforcement learning (GCHRL) provides a promising approach to solving long-horizon tasks. Recently, its success has been extended to more general se…
Exponential convergence of distributed optimization for heterogeneous linear multi-agent systems
Li Li, Yang Yu, Xiuxian Li +1
In this work we study a distributed optimal output consensus problem for heterogeneous linear multi-agent systems where the agents aim to reach consensus with the purpose of minimi…