research
∙
01/25/2023
Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning
In cooperative multi-agent tasks, parameter sharing among agents is a co...
share
research
∙
05/05/2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) has made prominent...
research
∙
04/06/2022
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning
Recent years have witnessed the great breakthrough of deep reinforcement...
research
∙
03/16/2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Multi-agent reinforcement learning is difficult to be applied in practic...
research
∙
03/16/2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning
Due to the partial observability and communication constraints in many m...
research
∙
02/21/2022
DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning
In cooperative multi-agent tasks, a team of agents jointly interact with...
research
∙
02/09/2022