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cs.LG2025
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Shuai Han, Mehdi Dastani, Shihan Wang
Training cooperative agents in sparse-reward scenarios poses significant challenges for multi-agent reinforcement learning (MARL). Without clear feedback on actions at each step in…
cs.LG2025
Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning
Changxi Zhu, Mehdi Dastani, Shihan Wang
In decentralized multi-agent deep reinforcement learning (MADRL), communication can help agents to gain a better understanding of the environment to better coordinate their behavio…