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2106.08199
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On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
15 June 2021
A. Abdolmaleki
Sandy H. Huang
Giulia Vezzani
Bobak Shahriari
Jost Tobias Springenberg
Shruti Mishra
TB Dhruva
Arunkumar Byravan
Konstantinos Bousmalis
András Gyorgy
Csaba Szepesvári
R. Hadsell
N. Heess
Martin Riedmiller
OffRL
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Papers citing
"On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning"
3 / 3 papers shown
Title
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg
A. Abdolmaleki
Jingwei Zhang
Oliver Groth
Michael Bloesch
...
Sarah Bechtle
Steven Kapturowski
Roland Hafner
N. Heess
Martin Riedmiller
OffRL
LRM
27
12
0
08 Feb 2024
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
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
140
928
0
07 Jul 2017
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