19 citations · 66 across the 13 of their papers we have counts for
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cs.MA2023
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou +2
Value function factorization has achieved great success in multi-agent reinforcement learning by optimizing joint action-value functions through the maximization of factorized per-…
cs.MA2022★ 2 cited
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou, Tian Lan, Vaneet Aggarwal
Multi-agent reinforcement learning (MARL) has witnessed significant progress with the development of value function factorization methods. It allows optimizing a joint action-value…
cs.MA2022★ 19 cited
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Hanhan Zhou, Tian Lan, Vaneet Aggarwal
Value function factorization via centralized training and decentralized execution is promising for solving cooperative multi-agent reinforcement tasks. One of the approaches in thi…