← Keywords

multi-agent reinforcement learning

534 papers

Explore in graph

Also known as

MARL MADRL

Co-occurring keywords

multi-agent system (1743) cooperative multi-agent (43) nash equilibrium (396) game theory (852) markov game (86) reinforcement learning (4122) policy optimization (630) policy learning (699) cooperative learning (65) value decomposition (31)

Papers

Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning AAAI 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NIPS 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation NIPS 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NIPS 2024
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NIPS 2024
Understanding Model Selection for Learning in Strategic Environments NIPS 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024
M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games IJCAI 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NIPS 2024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NIPS 2024
N-Agent Ad Hoc Teamwork IJCAI 2024
Differentially Private Reinforcement Learning with Self-Play NIPS 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024
Carbon Market Simulation with Adaptive Mechanism Design IJCAI 2024
Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024
SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces AAAI 2024