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Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

16 September 2021
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
    OffRL
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Papers citing "Conservative Data Sharing for Multi-Task Offline Reinforcement Learning"

5 / 55 papers shown
Title
How to Leverage Unlabeled Data in Offline Reinforcement Learning
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
29
61
0
03 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for
  Offline Reinforcement Learning
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRL
OnRL
19
84
0
31 Jan 2022
CALVIN: A Benchmark for Language-Conditioned Policy Learning for
  Long-Horizon Robot Manipulation Tasks
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Oier Mees
Lukás Hermann
Erick Rosete-Beas
Wolfram Burgard
LM&Ro
30
240
0
06 Dec 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
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
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