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cs.LG2024
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
Jinyuan Feng, Min Chen, Zhiqiang Pu +2
Multi-task reinforcement learning (MTRL) demonstrate potential for enhancing the generalization of a robot, enabling it to perform multiple tasks concurrently. However, the perform…
cs.LG2022
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Qingxu Fu, Xiaolin Ai, Jianqiang Yi +3
Many multiagent systems in the real world include multiple types of agents with different abilities and functionality. Such heterogeneous multiagent systems have significant practi…