Improved Regret Bound and Experience Replay in Regularized Policy
Iteration

Improved Regret Bound and Experience Replay in Regularized Policy Iteration

25 February 2021

Yasin Abbasi-Yadkori

Csaba Szepesvári

Papers citing "Improved Regret Bound and Experience Replay in Regularized Policy Iteration"

9 / 9 papers shown

Title
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging Guangyao Zheng Samson Zhou Vladimir Braverman M. Jacobs V. Parekh OffRL CLL 24 3 0 22 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 32 5 0 08 Feb 2023
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms Yashaswini Murthy Mehrdad Moharrami R. Srikant OffRL 34 5 0 02 Feb 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 30 4 0 29 Jan 2023
Analysis of Stochastic Processes through Replay Buffers Shirli Di-Castro Shashua Shie Mannor Dotan Di-Castro 36 6 0 26 Jun 2022
Efficient Local Planning with Linear Function Approximation Dong Yin Botao Hao Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári 32 19 0 12 Aug 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses Haipeng Luo Chen-Yu Wei Chung-Wei Lee 38 44 0 18 Jul 2021
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence Wenhao Zhan Shicong Cen Baihe Huang Yuxin Chen Jason D. Lee Yuejie Chi 24 76 0 24 May 2021
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes Chen-Yu Wei Mehdi Jafarnia-Jahromi Haipeng Luo Hiteshi Sharma R. Jain 107 100 0 15 Oct 2019