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LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

Taewook Nam
Juyong Lee
Jesse Zhang
Sung Ju Hwang
Joseph J Lim
Karl Pertsch
ArXiv (abs)PDFHTML

Papers citing "LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers"

4 / 4 papers shown
Title
GoalLadder: Incremental Goal Discovery with Vision-Language Models
GoalLadder: Incremental Goal Discovery with Vision-Language Models
Alexey Zakharov
Shimon Whiteson
20
0
0
19 Jun 2025
Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations
Christoph Schirninger
Robert Jarolim
Astrid M. Veronig
Christoph Kuckein
90
1
0
05 Jun 2025
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Xu Wan
Wenyue Xu
Chao Yang
Mingyang Sun
44
1
0
03 Jun 2025
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
Jiahui Zhang
Yusen Luo
Abrar Anwar
Sumedh Anand Sontakke
Joseph J Lim
Jesse Thomason
Erdem Biyik
Jesse Zhang
OffRLLM&Ro
126
0
0
16 May 2025

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