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

Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023
Learning to Shape Rewards Using a Game of Two Partners AAAI 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NIPS 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NIPS 2023
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria NIPS 2023
Information Design in Multi-Agent Reinforcement Learning NIPS 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NIPS 2023
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment NIPS 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NIPS 2023
Convex-Concave Zero-Sum Markov Stackelberg Games NIPS 2023
Differential Privacy in Cooperative Multiagent Planning UAI 2023
Markov Game Video Augmentation for Action Segmentation ICCV 2023
When are Offline Two-Player Zero-Sum Markov Games Solvable? NIPS 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NIPS 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NIPS 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022