← Applications
Reinforcement Learning › Applications ›

Multi-Agent Systems

264 directly classified papers

Papers per year

Papers

Learning Distinguishable Trajectory Representation with Contrastive Loss NIPS 2024
Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
Opponent Modeling based on Subgoal Inference NIPS 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Predicting Future Actions of Reinforcement Learning Agents NIPS 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NIPS 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NIPS 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NIPS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NIPS 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NIPS 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NIPS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024