conftrace_

value function factorization

11 papers

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Also known as

VFF

Co-occurring keywords · papers mentioning both

multi-agent reinforcement learning (11) partial observability (3) distributional reinforcement learning (3) decentralized execution (2) decentralized policy (2) deep reinforcement learning (2) monotonic value function (1) centralized training (1) quantile mixture (1) joint policy (1)

Papers

ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning NeurIPS 2022 ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2022 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 VAST: Value Function Factorization with Variable Agent Sub-Teams NeurIPS 2021 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020 Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NeurIPS 2020 QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018