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Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

24 February 2025
Kartik Nagpal
Dayi Dong
Jean-Baptiste Bouvier
Negar Mehr
    LLMAG
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Papers citing "Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment"

13 / 13 papers shown
Title
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents
Raghav Thind
Youran Sun
Ling Liang
Haizhao Yang
LLMAG
150
0
0
23 Apr 2025
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic
  Potential Games
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential Games
Maulik Bhatt
Yixuan Jia
Negar Mehr
36
14
0
17 Jun 2022
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
101
167
0
12 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
88
798
0
19 Mar 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
229
2,044
0
18 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
153
1,207
0
24 Nov 2019
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
172
361
0
16 Oct 2019
QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
52
804
0
14 May 2019
Using Natural Language for Reward Shaping in Reinforcement Learning
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
73
182
0
05 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,479
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
533
130,873
0
12 Jun 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
134
1,604
0
21 May 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
146
7,621
0
22 Sep 2015
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