Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2206.02829
Cited By
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
6 June 2022
Rui Yang
Chenjia Bai
Xiaoteng Ma
Zhaoran Wang
Chongjie Zhang
Lei Han
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"RORL: Robust Offline Reinforcement Learning via Conservative Smoothing"
15 / 15 papers shown
Title
The Role of Deep Learning Regularizations on Actors in Offline RL
Denis Tarasov
Anja Surina
Çağlar Gülçehre
OffRL
AI4CE
48
1
0
11 Sep 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
Rui Yang
Ruomeng Ding
Yong Lin
Huan Zhang
Tong Zhang
21
42
0
14 Jun 2024
Augmenting Offline RL with Unlabeled Data
Zhao Wang
Briti Gangopadhyay
Jia-Fong Yeh
Shingo Takamatsu
OffRL
26
0
0
11 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Denis Tarasov
Kirill Brilliantov
Dmitrii Kharlapenko
OffRL
30
2
0
10 Jun 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom
Yonghyeon Jo
Jungmo Kim
Sanghyeon Lee
Seungyul Han
OffRL
40
2
0
23 May 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
Thanh Nguyen
T. Luu
Tri Ton
Chang D. Yoo
OffRL
AAML
32
0
0
18 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
34
2
0
10 May 2024
Zero-Shot Reinforcement Learning from Low Quality Data
Scott Jeen
Tom Bewley
Jonathan M. Cullen
OffRL
OnRL
32
0
0
26 Sep 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov
Vladislav Kurenkov
Alexander Nikulin
Sergey Kolesnikov
OffRL
20
36
0
16 May 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
22
4
0
11 Jul 2022
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
832
0
12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
95
261
0
04 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang
Wenzhe Li
Haozhe Jiang
Guangxiang Zhu
Siyuan Li
Chongjie Zhang
OffRL
96
59
0
01 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
212
413
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
1