value decomposition

Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026 Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition AAAI 2026 Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning IJCAI 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank ICLR 2025 L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning IJCAI 2025 RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation IJCAI 2025 Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts ACL 2025 Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning ICLR 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ICLR 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL NeurIPS 2023 HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023 Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NeurIPS 2023 Solving Continuous Control via Q-learning ICLR 2023 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022