episodic reinforcement learning

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025 TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning ICLR 2025 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023 Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023 Autonomous Reinforcement Learning: Formalism and Benchmarking ICLR 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022 Reinforcement Learning with Logarithmic Regret and Policy Switches NeurIPS 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NeurIPS 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 A Unifying View of Optimism in Episodic Reinforcement Learning NeurIPS 2020 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020 Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020 Steady State Analysis of Episodic Reinforcement Learning NeurIPS 2020 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NeurIPS 2017 Only H is left: Near-tight Episodic PAC RL NeurIPS 2016 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015