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Regret Bounds for Reinforcement Learning via Markov Chain Concentration

Regret Bounds for Reinforcement Learning via Markov Chain Concentration

6 August 2018
R. Ortner
ArXivPDFHTML

Papers citing "Regret Bounds for Reinforcement Learning via Markov Chain Concentration"

5 / 5 papers shown
Title
Improved Estimation of Relaxation Time in Non-reversible Markov Chains
Improved Estimation of Relaxation Time in Non-reversible Markov Chains
Geoffrey Wolfer
A. Kontorovich
45
7
0
01 Sep 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with
  Constraints
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
57
25
0
31 Jan 2022
Dueling RL: Reinforcement Learning with Trajectory Preferences
Dueling RL: Reinforcement Learning with Trajectory Preferences
Aldo Pacchiano
Aadirupa Saha
Jonathan Lee
33
81
0
08 Nov 2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic
  Reinforcement Learning and Global Convergence of Policy Gradient Methods
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
Junzi Zhang
OffRL
25
6
0
13 Sep 2021
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
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
99
0
15 Oct 2019
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