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Adaptive Reward-Free Exploration

Adaptive Reward-Free Exploration

11 June 2020
E. Kaufmann
Pierre Ménard
O. D. Domingues
Anders Jonsson
Edouard Leurent
Michal Valko
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Papers citing "Adaptive Reward-Free Exploration"

17 / 17 papers shown
Title
Cascading Reinforcement Learning
Cascading Reinforcement Learning
Yihan Du
R. Srikant
Wei Chen
8
0
0
17 Jan 2024
Policy Finetuning in Reinforcement Learning via Design of Experiments
  using Offline Data
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Ruiqi Zhang
Andrea Zanette
OffRL
OnRL
35
5
0
10 Jul 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning
Towards Theoretical Understanding of Inverse Reinforcement Learning
Alberto Maria Metelli
Filippo Lazzati
Marcello Restelli
21
13
0
25 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under
  Low-rank MDPs
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan-Chia Cheng
Ruiquan Huang
J. Yang
Yitao Liang
OffRL
37
8
0
20 Mar 2023
Layered State Discovery for Incremental Autonomous Exploration
Layered State Discovery for Incremental Autonomous Exploration
Liyu Chen
Andrea Tirinzoni
A. Lazaric
Matteo Pirotta
15
0
0
07 Feb 2023
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
27
5
0
05 Oct 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear
  RL
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen
Aditya Modi
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
30
25
0
21 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
67
0
16 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous
  Information
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
Yonathan Efroni
Dylan J. Foster
Dipendra Kumar Misra
A. Krishnamurthy
John Langford
OffRL
24
25
0
09 Jun 2022
Branching Reinforcement Learning
Branching Reinforcement Learning
Yihan Du
Wei Chen
11
0
0
16 Feb 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
Dan Qiao
Ming Yin
Ming Min
Yu-Xiang Wang
24
28
0
13 Feb 2022
Reinforcement Learning in Reward-Mixing MDPs
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
25
15
0
07 Oct 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
22
12
0
11 Aug 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in
  Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Ming Yin
Yu-Xiang Wang
OffRL
16
19
0
13 May 2021
UCB Momentum Q-learning: Correcting the bias without forgetting
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard
O. D. Domingues
Xuedong Shang
Michal Valko
77
40
0
01 Mar 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement
  Learning
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Yifang Chen
S. Du
Kevin G. Jamieson
16
22
0
13 Feb 2021
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
104
194
0
07 Feb 2020
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