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Multi-Agent Systems

788 directly classified papers

Papers per year

Papers

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024
Convergence of No-Swap-Regret Dynamics in Self-Play NIPS 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NIPS 2024
Understanding Model Selection for Learning in Strategic Environments NIPS 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners NIPS 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NIPS 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems NIPS 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024
PMAC: Personalized Multi-Agent Communication AAAI 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NIPS 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy NIPS 2024
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NIPS 2024
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration AAAI 2024
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NIPS 2024
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NIPS 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024