most citedMulti-agent Exploration with Sub-state Entropy Estimation

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cs.LG2024

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning

Yangkun Chen, Kai Yang, Jian Tao +1

Recently, deep Multi-Agent Reinforcement Learning (MARL) has demonstrated its potential to tackle complex cooperative tasks, pushing the boundaries of AI in collaborative environme…