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Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

18 May 2023
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
ArXivPDFHTML

Papers citing "Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning"

14 / 14 papers shown
Title
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
Shivam Singh
Karthik Swaminathan
Nabanita Dash
Ramandeep Singh
Snehasis Banerjee
Mohan Sridharan
Madhava Krishna
LLMAG
LM&Ro
108
0
0
04 Feb 2025
Improving Sample Efficiency of Reinforcement Learning with Background
  Knowledge from Large Language Models
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
Fuxiang Zhang
Junyou Li
Yi-Chen Li
Zongzhang Zhang
Yang Yu
Deheng Ye
OffRL
KELM
47
1
0
04 Jul 2024
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Cristina Cornelio
Mohammed Diab
OffRL
30
9
0
31 Mar 2024
Efficient Human-AI Coordination via Preparatory Language-based
  Convention
Efficient Human-AI Coordination via Preparatory Language-based Convention
Cong Guan
Lichao Zhang
Chunpeng Fan
Yi-Chen Li
Feng Chen
Lihe Li
Yunjia Tian
Lei Yuan
Yang Yu
LM&Ro
30
8
0
01 Nov 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
137
622
0
26 Apr 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
267
2,494
0
06 Oct 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
60
19
0
20 Sep 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
140
95
0
28 Jan 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
389
8,495
0
28 Jan 2022
Collaborating with Humans without Human Data
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
124
161
0
15 Oct 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Grounding Language to Entities and Dynamics for Generalization in
  Reinforcement Learning
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
H. Wang
Victor Zhong
Karthik Narasimhan
81
53
0
19 Jan 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
55
210
0
18 Mar 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
140
355
0
16 Oct 2019
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