conftrace_

multi-agent learning

98 papers

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Co-occurring keywords

multi-agent system (1819) game theory (854) nash equilibrium (398) regret bound (1926) reinforcement learning (4352) multi-agent reinforcement learning (538) zero-sum game (190) online learning (1777) markov game (86) regret minimization (315)

Papers

Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026
Learning with Linear Function Approximations in Mean-Field Control JMLR 2025
An Open-Ended Learning Framework for Opponent Modeling AAAI 2025
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NIPS 2024
The Sample-Communication Complexity Trade-off in Federated Q-Learning NIPS 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners NIPS 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NIPS 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024
MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024
Deep Reinforcement Learning for Communication Networks AAAI 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023
Policy Space Diversity for Non-Transitive Games NIPS 2023
Safe Multi-agent Learning via Trapping Regions IJCAI 2023
Online Corrupted User Detection and Regret Minimization NIPS 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics ICML 2023