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On the Role of Discount Factor in Offline Reinforcement Learning

On the Role of Discount Factor in Offline Reinforcement Learning

7 June 2022
Haotian Hu
Yiqin Yang
Qianchuan Zhao
Chongjie Zhang
    OffRL
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Papers citing "On the Role of Discount Factor in Offline Reinforcement Learning"

17 / 17 papers shown
Title
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang
Quanwei Wang
Chenghao Li
Hao Hu
Chengjie Wu
...
Dianyu Zhong
Ziyou Zhang
Qianchuan Zhao
Chongjie Zhang
Xu Bo
OffRL
47
0
0
26 Feb 2025
On the Effective Horizon of Inverse Reinforcement Learning
On the Effective Horizon of Inverse Reinforcement Learning
Yiqing Xu
Finale Doshi-Velez
David Hsu
41
0
0
21 Feb 2025
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
Haotian Hu
Yiqin Yang
Jianing Ye
Chengjie Wu
Ziqing Mai
Yujing Hu
Tangjie Lv
Changjie Fan
Qianchuan Zhao
Chongjie Zhang
OffRL
OnRL
37
3
0
31 May 2024
Offline Imitation Learning by Controlling the Effective Planning Horizon
Offline Imitation Learning by Controlling the Effective Planning Horizon
Hee-Jun Ahn
Seong-Woong Shim
Byung-Jun Lee
16
0
0
18 Jan 2024
Unsupervised Behavior Extraction via Random Intent Priors
Unsupervised Behavior Extraction via Random Intent Priors
Haotian Hu
Yiqin Yang
Jianing Ye
Ziqing Mai
Chongjie Zhang
OffRL
32
6
0
28 Oct 2023
Imitation Learning from Observation with Automatic Discount Scheduling
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu
Weijun Dong
Yingdong Hu
Chuan Wen
Zhao-Heng Yin
Chongjie Zhang
Yang Gao
23
6
0
11 Oct 2023
Improving Offline RL by Blending Heuristics
Improving Offline RL by Blending Heuristics
Sinong Geng
Aldo Pacchiano
Andrey Kolobov
Ching-An Cheng
OffRL
22
7
0
01 Jun 2023
On the Value of Myopic Behavior in Policy Reuse
On the Value of Myopic Behavior in Policy Reuse
Kang Xu
Chenjia Bai
Shuang Qiu
Haoran He
Bin Zhao
Zhen Wang
Wei Li
Xuelong Li
24
1
0
28 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov
Vladislav Kurenkov
Alexander Nikulin
Sergey Kolesnikov
OffRL
25
36
0
16 May 2023
The Provable Benefits of Unsupervised Data Sharing for Offline
  Reinforcement Learning
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning
Haotian Hu
Yiqin Yang
Qianchuan Zhao
Chongjie Zhang
OffRL
6
4
0
27 Feb 2023
Flow to Control: Offline Reinforcement Learning with Lossless Primitive
  Discovery
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
Yiqin Yang
Haotian Hu
Wenzhe Li
Siyuan Li
Jun Yang
Qianchuan Zhao
Chongjie Zhang
OffRL
21
9
0
02 Dec 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
837
0
12 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
91
33
0
13 Jul 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
214
413
0
16 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
107
166
0
06 Jan 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
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,949
0
04 May 2020
1