Research map / Multi-agent systems and games / Cooperative multi-agent RL
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning
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Closest papers by meaning
- ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization (NeurIPS 2022 · similarity 0.90)
- Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization (NeurIPS 2021 · similarity 0.90)
- DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning (ICML 2021 · similarity 0.89)
- ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning (AAAI 2024 · similarity 0.89)
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- REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes (ICLR 2024 · similarity 0.87)
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