← Methods
Reinforcement Learning › Methods ›

Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning IJCAI 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning COLING 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NIPS 2024
Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024
Off-Agent Trust Region Policy Optimization IJCAI 2024
Factored Online Planning in Many-Agent POMDPs AAAI 2024
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes RSS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning IJCAI 2024
Multi-agent assignment via state augmented reinforcement learning L4DC 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss NIPS 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Opponent Modeling based on Subgoal Inference NIPS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems L4DC 2024