Co-occurring keywords · papers mentioning both
Papers
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
ICML 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
ICML 2022
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
AAAI 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2022
Non-Linear Coordination Graphs
NeurIPS 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
ICML 2022
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
NeurIPS 2022
ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning
ACML 2021
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
ICML 2021
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
AAAI 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
ICML 2021
Value-Decomposition Multi-Agent Actor-Critics
AAAI 2021
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
IJCAI 2019