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episodic reinforcement learning

18 papers

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Co-occurring keywords

regret bound (1926) markov decision process (790) sample complexity (1169) model-based reinforcement learning (415) reinforcement learning (4352) model-free algorithm (16) reward redistribution (7) finite-horizon mdp (6) adversarial corruption (40) thompson sampling (237)

Papers

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches NIPS 2022
Corruption-robust exploration in episodic reinforcement learning COLT 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020
Is Long Horizon RL More Difficult Than Short Horizon RL? NIPS 2020
A Unifying View of Optimism in Episodic Reinforcement Learning NIPS 2020
Steady State Analysis of Episodic Reinforcement Learning NIPS 2020
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NIPS 2017
Only H is left: Near-tight Episodic PAC RL NIPS 2016
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NIPS 2015