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conftrace_

multi-agent learning

109 papers

Papers

Causal Discovery for Efficient Offline RL with Factored Action Spaces CLeaR 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing UAI 2026 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 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Multi-agent Stochastic Bandits Robust to Adversarial Corruptions L4DC 2025 Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning ICLR 2025 The Complexity of Two-Team Polymatrix Games with Independent Adversaries ICLR 2025 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 Deep Reinforcement Learning for Communication Networks AAAI 2024 Efficient Inverse Multiagent Learning ICLR 2024 Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024 Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024 No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NeurIPS 2024 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 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024 Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics IJCAI 2023 BRExIt: On Opponent Modelling in Expert Iteration IJCAI 2023