ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.01560
  4. Cited By
Describe, Explain, Plan and Select: Interactive Planning with Large
  Language Models Enables Open-World Multi-Task Agents

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

3 February 2023
Zihao Wang
Shaofei Cai
Guanzhou Chen
Anji Liu
Xiaojian Ma
Yitao Liang
    LM&Ro
    LLMAG
ArXivPDFHTML

Papers citing "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents"

4 / 254 papers shown
Title
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
303
11,881
0
04 Mar 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
47
31
0
17 Feb 2022
Integrating AI Planning with Natural Language Processing: A Combination
  of Explicit and Tacit Knowledge
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
Kebing Jin
H. Zhuo
17
4
0
15 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
Previous
123456