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Multi-Agent Systems

264 directly classified papers

Papers per year

Papers

Offline Learning in Markov Games with General Function Approximation ICML 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
Robust Subtask Learning for Compositional Generalization ICML 2023
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning ICML 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NIPS 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NIPS 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023
Online Non-stochastic Control with Partial Feedback JMLR 2023
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023
Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023
Learning Mean-Field Games with Discounted and Average Costs JMLR 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023
Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions AAAI 2023
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions EMNLP 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023
Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs AAAI 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023