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Hybrid Value Estimation for Off-policy Evaluation and Offline
  Reinforcement Learning

Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning

4 June 2022
Xuefeng Jin
Xu-Hui Liu
Shengyi Jiang
Yang Yu
    OffRL
ArXivPDFHTML

Papers citing "Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning"

6 / 6 papers shown
Title
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
44
101
0
19 Jun 2022
SOPE: Spectrum of Off-Policy Estimators
SOPE: Spectrum of Off-Policy Estimators
C. J. Yuan
Yash Chandak
S. Giguere
Philip S. Thomas
S. Niekum
OffRL
50
5
0
06 Nov 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
102
262
0
04 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
413
0
16 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
132
78
0
01 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
209
119
0
21 Jul 2020
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