← Applications
Reinforcement Learning › Applications ›

Multi-Agent Systems

264 directly classified papers

Papers per year

Papers

Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NIPS 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NIPS 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NIPS 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NIPS 2024
Opponent Modeling based on Subgoal Inference NIPS 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024
MARCO: Multi-Agent Real-time Chat Orchestration EMNLP 2024
Universal Agent Mixtures and the Geometry of Intelligence AISTATS 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023
Learning Intuitive Policies Using Action Features ICML 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023
Online Non-stochastic Control with Partial Feedback JMLR 2023
Robust Subtask Learning for Compositional Generalization ICML 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023
Learning Mean-Field Games with Discounted and Average Costs JMLR 2023
Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023