conftrace_

average-reward markov decision process

5 papers

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regret bound (3) policy gradient (2) variance-reduced q-learning (1) implicit gradient transport (1) generalized eluder coefficient (1) wasserstein uncertainty set (1) discounted reward markov decision process (1) weakly communicating mdp (1) model-free reinforcement learning (1) average reward (1)

Papers

Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning. UAI 2026 Global Convergence of Policy Gradient in Average Reward MDPs ICLR 2025 Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs AISTATS 2025 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes COLT 2023