Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

no code implementations • 16 Dec 2023 • Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang

We propose an active defense strategy, where agents automatically reduce the impact of potentially harmful messages on the final decision.

Multi-agent Reinforcement Learning reinforcement-learning

Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help

no code implementations • 18 Feb 2023 • Yunbo Qiu, Yue Jin, Lebin Yu, Jian Wang, Xudong Zhang

Multi-agent reinforcement learning (MARL) has achieved great progress in cooperative tasks in recent years.

Multi-agent Reinforcement Learning reinforcement-learning +1

Low Entropy Communication in Multi-Agent Reinforcement Learning

no code implementations • 10 Feb 2023 • Lebin Yu, Yunbo Qiu, Qiexiang Wang, Xudong Zhang, Jian Wang

Communication in multi-agent reinforcement learning has been drawing attention recently for its significant role in cooperation.

Multi-agent Reinforcement Learning reinforcement-learning +1

Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control

no code implementations • 17 Sep 2022 • Yunbo Qiu, Yuzhu Zhan, Yue Jin, Jian Wang, Xudong Zhang

By pretraining with non-expert demonstrations, PwD-MARL improves sample efficiency in the process of online MARL with a warm start.

Multi-agent Reinforcement Learning reinforcement-learning +1

Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control

no code implementations • 17 Sep 2022 • Yunbo Qiu, Yue Jin, Jian Wang, Xudong Zhang

Flocking control is a challenging problem, where multiple agents, such as drones or vehicles, need to reach a target position while maintaining the flock and avoiding collisions with obstacles and collisions among agents in the environment.

Multi-agent Reinforcement Learning reinforcement-learning +2