centralized training

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint) AAAI 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025 CADP: Towards Better Centralized Learning for Decentralized Execution in MARL IJCAI 2025 Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes L4DC 2025 Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning ICML 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022 Difference Advantage Estimation for Multi-Agent Policy Gradients ICML 2022 Offline Multi-Agent Reinforcement Learning with Knowledge Distillation NeurIPS 2022 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NeurIPS 2021 Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning ICLR 2020 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning AAAI 2019