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A Minimalist Prompt for Zero-Shot Policy Learning

A Minimalist Prompt for Zero-Shot Policy Learning

9 May 2024
Meng Song
Xuezhi Wang
Tanay Biradar
Yao Qin
Manmohan Chandraker
    OffRL
ArXivPDFHTML

Papers citing "A Minimalist Prompt for Zero-Shot Policy Learning"

4 / 4 papers shown
Title
Programmatically Grounded, Compositionally Generalizable Robotic
  Manipulation
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang
Jiayuan Mao
Joy Hsu
Hang Zhao
Jiajun Wu
Yang Gao
LM&Ro
120
30
0
26 Apr 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
307
4,077
0
24 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 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
334
1,951
0
04 May 2020
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