multi-agent learning

Model-Free Opponent Shaping ICML 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022 Near-Optimal Multi-Agent Learning for Safe Coverage Control NeurIPS 2022 Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world NeurIPS 2022 On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Transfer Learning Based Adaptive Automated Negotiating Agent Framework IJCAI 2022 Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers NeurIPS 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NeurIPS 2022 Coordinated Proximal Policy Optimization NeurIPS 2021 Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021 Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games ICML 2021 Exploiting Opponents Under Utility Constraints in Sequential Games NeurIPS 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NeurIPS 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021 Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Newton Optimization on Helmholtz Decomposition for Continuous Games AAAI 2021 Off-Belief Learning ICML 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NeurIPS 2021 A Generalized Training Approach for Multiagent Learning ICLR 2020