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Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

21 February 2025
Vlad Sobal
Wancong Zhang
Kynghyun Cho
Randall Balestriero
Tim G. J. Rudner
Yann LeCun
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models"

4 / 4 papers shown
Title
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Mido Assran
Adrien Bardes
David Fan
Q. Garrido
Russell Howes
...
Sarath Chandar
Franziska Meier
Yann LeCun
Michael G. Rabbat
Nicolas Ballas
71
0
0
11 Jun 2025
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
Seungho Baek
Taegeon Park
Jongchan Park
Seungjun Oh
Yusung Kim
OffRL
22
0
0
09 Jun 2025
Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning
Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning
Quentin Rouxel
Clemente Donoso
Fei Chen
S. Ivaldi
Jean-Baptiste Mouret
OffRL
128
0
0
26 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
160
0
0
06 May 2025
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