average reward

A Unified Framework for Locality in Scalable MARL L4DC 2026 Learning-based Optimal Admission Control for Erlang-B Queuing Systems UAI 2026 Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs COLT 2026 Achieving Õ(√T) Regret in Average-Reward POMDPs with Known Observation Models AISTATS 2025 A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs ICML 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025 A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach ICML 2025 Near-Optimal Sample Complexity for MDPs via Anchoring ICML 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Optimistic Q-learning for average reward and episodic reinforcement learning extended abstract COLT 2025 Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL COLT 2025 Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards NeurIPS 2024 RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning ICML 2024 Solving Long-run Average Reward Robust MDPs via Stochastic Games IJCAI 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 Exploration in Reward Machines with Low Regret AISTATS 2023 Inverse Reinforcement Learning with the Average Reward Criterion NeurIPS 2023