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Best of Both Worlds Policy Optimization

Best of Both Worlds Policy Optimization

18 February 2023
Christoph Dann
Chen-Yu Wei
Julian Zimmert
ArXivPDFHTML

Papers citing "Best of Both Worlds Policy Optimization"

6 / 6 papers shown
Title
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
Yu Chen
Jiatai Huang
Yan Dai
Longbo Huang
34
0
0
04 Oct 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
OffRL
23
1
0
03 Jun 2024
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual
  Bandits
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
36
0
0
05 Mar 2024
Best-of-Both-Worlds Linear Contextual Bandits
Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
53
0
0
27 Dec 2023
Near-optimal Policy Optimization Algorithms for Learning Adversarial
  Linear Mixture MDPs
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
Jiafan He
Dongruo Zhou
Quanquan Gu
95
24
0
17 Feb 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
100
0
15 Oct 2019
1