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Showing Your Offline Reinforcement Learning Work: Online Evaluation
  Budget Matters

Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters

8 October 2021
Vladislav Kurenkov
Sergey Kolesnikov
    OffRL
ArXivPDFHTML

Papers citing "Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters"

12 / 12 papers shown
Title
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
Ilya Zisman
Alexander Nikulin
Andrei Polubarov
Nikita Lyubaykin
Vladislav Kurenkov
Andrei Polubarov
Igor Kiselev
Vladislav Kurenkov
OffRL
50
1
0
04 Nov 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised
  Baselines and Evaluation
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek
C. Tilbury
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
39
1
0
13 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for
  Offline Reinforcement Learning?
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Denis Tarasov
Kirill Brilliantov
Dmitrii Kharlapenko
OffRL
32
2
0
10 Jun 2024
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
33
36
0
16 May 2023
Anti-Exploration by Random Network Distillation
Anti-Exploration by Random Network Distillation
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Sergey Kolesnikov
38
24
0
31 Jan 2023
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
28
14
0
20 Nov 2022
User-Interactive Offline Reinforcement Learning
User-Interactive Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
25
11
0
21 May 2022
Supported Policy Optimization for Offline Reinforcement Learning
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu
Haixu Wu
Zihan Qiu
Jianmin Wang
Mingsheng Long
OffRL
35
64
0
13 Feb 2022
Expected Validation Performance and Estimation of a Random Variable's
  Maximum
Expected Validation Performance and Estimation of a Random Variable's Maximum
Jesse Dodge
Suchin Gururangan
Dallas Card
Roy Schwartz
Noah A. Smith
46
9
0
01 Oct 2021
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
161
472
0
06 Aug 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
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
340
1,960
0
04 May 2020
1