conftrace_

average-reward reinforcement learning

10 papers

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regret bound (5) markov decision process (4) zooming dimension (2) mixing time (2) adaptive discretization (2) multilevel monte carlo (1) model-free algorithm (1) linear mixture model (1) discounted markov decision process (1) score-aware gradient estimator (1)

Papers

Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning AAAI 2026 Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span AISTATS 2025 Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces UAI 2025 Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs AISTATS 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 Feasible Q-Learning for Average Reward Reinforcement Learning AISTATS 2024 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic ICML 2023 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 Finite Sample Analysis of Average-Reward TD Learning and Q-Learning NeurIPS 2021