Tianpei Yang

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

2020 · arXiv (Cornell University)

Transfer Learning has shown great potential to enhance single-agent Reinforcement Learning (RL) efficiency. Similarly, Multiagent RL (MARL) can also be accelerated if agents can share knowledge with each other. However, it remains a problem of …

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Exploration is critical for cooperative multi agent reinforcement learning (MARL) to improve sample efficiency. However, existing intrinsic motivation based exploration strategies in MARL overlook the causal relationships among agents, global states, and rewards, suffering from …