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True Knowledge Comes from Practice: Aligning LLMs with Embodied
  Environments via Reinforcement Learning

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning

25 January 2024
Weihao Tan
Wentao Zhang
Shanqi Liu
Longtao Zheng
Xinrun Wang
Bo An
    OffRL
ArXivPDFHTML

Papers citing "True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning"

6 / 6 papers shown
Title
A Survey on Large Language Model-Based Game Agents
A Survey on Large Language Model-Based Game Agents
Sihao Hu
Tiansheng Huang
Gaowen Liu
Ramana Rao Kompella
Gaowen Liu
Selim Furkan Tekin
Yichang Xu
Zachary Yahn
Ling Liu
LLMAG
LM&Ro
AI4CE
LM&MA
60
49
0
02 Apr 2024
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
112
616
0
22 Sep 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
51
19
0
20 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 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
278
3,784
0
18 Apr 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
67
89
0
29 Dec 2020
1