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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces L4DC 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing ICML 2023
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
Who Needs to Know? Minimal Knowledge for Optimal Coordination ICML 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023
Robust Subtask Learning for Compositional Generalization ICML 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning ICML 2023
Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games ICML 2023
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning IJCAI 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NIPS 2023
Conservative Offline Policy Adaptation in Multi-Agent Games NIPS 2023
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NIPS 2023
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023
Diverse Conventions for Human-AI Collaboration NIPS 2023
Multi-Agent Learning from Learners ICML 2023