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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities CORL 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries IJCAI 2023
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NIPS 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NIPS 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NIPS 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning NIPS 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NIPS 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023
User Simulator Assisted Open-ended Conversational Recommendation System ACL 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023
Convergence rates for localized actor-critic in networked Markov potential games UAI 2023
Conservative Offline Policy Adaptation in Multi-Agent Games NIPS 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023
The Complexity of Markov Equilibrium in Stochastic Games COLT 2023
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks IJCAI 2023
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning NIPS 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NIPS 2023
Learning Regularized Monotone Graphon Mean-Field Games NIPS 2023
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks IJCAI 2022
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs IJCAI 2022