conftrace_

markov game

86 papers

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Also known as

MG

Co-occurring keywords

nash equilibrium (398) multi-agent reinforcement learning (538) zero-sum game (190) multi-agent system (1819) game theory (854) sample complexity (1169) regret bound (1926) function approximation (319) coarse correlated equilibrium (31) multi-agent learning (98)

Papers

Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning ICML 2022
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NIPS 2022
COACH: Cooperative Robot Teaching CORL 2022
Generalized Beliefs for Cooperative AI ICML 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022
Gap-Dependent Bounds for Two-Player Markov Games AISTATS 2022
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NIPS 2022
Thompson sampling for Markov games with piecewise stationary opponent policies UAI 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021
Online Learning in Unknown Markov Games ICML 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization NIPS 2021
Decentralized Q-learning in Zero-sum Markov Games NIPS 2021
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021
Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020
Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020
Learning to Incentivize Other Learning Agents NIPS 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games NIPS 2020
Near-Optimal Reinforcement Learning with Self-Play NIPS 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020