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Contrastive Value Learning: Implicit Models for Simple Offline RL

Contrastive Value Learning: Implicit Models for Simple Offline RL

3 November 2022
Bogdan Mazoure
Benjamin Eysenbach
Ofir Nachum
Jonathan Tompson
    SSL
    OffRL
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Papers citing "Contrastive Value Learning: Implicit Models for Simple Offline RL"

12 / 12 papers shown
Title
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
J. Li
Yunbo Wang
Xiaokang Yang
OffRL
34
0
0
10 May 2025
Listwise Reward Estimation for Offline Preference-based Reinforcement
  Learning
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi
Sangwon Jung
Hongjoon Ahn
Taesup Moon
OffRL
34
2
0
08 Aug 2024
Inference via Interpolation: Contrastive Representations Provably Enable
  Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
21
3
0
06 Mar 2024
Contrastive Difference Predictive Coding
Contrastive Difference Predictive Coding
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TS
OffRL
17
4
0
31 Oct 2023
Value function estimation using conditional diffusion models for control
Value function estimation using conditional diffusion models for control
Bogdan Mazoure
Walter A. Talbott
Miguel Angel Bautista
R. Devon Hjelm
Alexander Toshev
J. Susskind
DiffM
10
4
0
09 Jun 2023
Accelerating exploration and representation learning with offline
  pre-training
Accelerating exploration and representation learning with offline pre-training
Bogdan Mazoure
Jake Bruce
Doina Precup
Rob Fergus
Ankit Anand
OffRL
14
5
0
31 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and
  Opportunities
Foundation Models for Decision Making: Problems, Methods, and Opportunities
Sherry Yang
Ofir Nachum
Yilun Du
Jason W. Wei
Pieter Abbeel
Dale Schuurmans
LM&Ro
OffRL
LRM
AI4CE
90
148
0
07 Mar 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
120
64
0
11 Oct 2022
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
194
412
0
16 Feb 2021
Learning Successor States and Goal-Dependent Values: A Mathematical
  Viewpoint
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
Léonard Blier
Corentin Tallec
Yann Ollivier
46
30
0
18 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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