Improved Analysis of UCRL2 with Empirical Bernstein Inequality

1. 2021Understanding Domain Randomization for Sim-to-real Transfercited by 69
2. 2022Policy Optimization with Linear Temporal Logic Constraintscited by 19
3. 2021Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximationcited by 18
4. 2024Achieving Tractable Minimax Optimal Regret in Average Reward MDPscited by 13
5. 2024Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPscited by 7
6. 2021Optimism and Delays in Episodic Reinforcement Learningcited by 4
7. 2022Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processescited by 3
8. 2026Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learningcited by 2
9. 2024Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Spancited by 1
10. 2024Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Gamescited by 1
11. 2024Provably Efficient Exploration in Reward Machines with Low Regretcited by 1
12. 2025A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Modelcited by 1

1. 2026Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning7 Aug 2026
2. 2026Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model17 Apr 2026
3. 2026Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning10 Feb 2026
4. 2026Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding31 Jan 2026
5. 2025Tail Distribution of Regret in Optimistic Reinforcement Learning23 Nov 2025
6. 2025A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model30 Jul 2025
7. 2024Provably Efficient Exploration in Reward Machines with Low Regret26 Dec 2024
8. 2024Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games9 Nov 2024
9. 2024Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span19 Oct 2024
10. 2024Achieving Tractable Minimax Optimal Regret in Average Reward MDPs3 Jun 2024
11. 2024Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs23 May 2024
12. 2023On Reward Structures of Markov Decision Processes28 Aug 2023

1. 2026Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learningcited by 2

1. 2026Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning10 Feb 2026

1. 2021Understanding Domain Randomization for Sim-to-real Transfercited by 69
2. 2022Policy Optimization with Linear Temporal Logic Constraintscited by 19
3. 2021Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximationcited by 18
4. 2024Achieving Tractable Minimax Optimal Regret in Average Reward MDPscited by 13
5. 2024Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPscited by 7
6. 2021Optimism and Delays in Episodic Reinforcement Learningcited by 4
7. 2022Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processescited by 3
8. 2024Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Spancited by 1
9. 2024Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Gamescited by 1
10. 2024Provably Efficient Exploration in Reward Machines with Low Regretcited by 1
11. 2025A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Modelcited by 1
12. 2026Sample Complexity Bounds for Stochastic Shortest Path with a Generative Modelcited by 1

12 most cited of 17 · All 17 (JSON)

1. 2026Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning7 Aug 2026
2. 2026Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model17 Apr 2026
3. 2026Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding31 Jan 2026
4. 2025Tail Distribution of Regret in Optimistic Reinforcement Learning23 Nov 2025
5. 2025A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model30 Jul 2025
6. 2024Provably Efficient Exploration in Reward Machines with Low Regret26 Dec 2024
7. 2024Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games9 Nov 2024
8. 2024Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span19 Oct 2024
9. 2024Achieving Tractable Minimax Optimal Regret in Average Reward MDPs3 Jun 2024
10. 2024Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs23 May 2024
11. 2023On Reward Structures of Markov Decision Processes28 Aug 2023
12. 2023A Cover Time Study of a non-Markovian Algorithm8 Jun 2023

12 newest of 17 · All 17 (JSON)