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Cooperative Exploration for Multi-Agent Deep Reinforcement Learning

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning

23 July 2021
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
ArXivPDFHTML

Papers citing "Cooperative Exploration for Multi-Agent Deep Reinforcement Learning"

50 / 55 papers shown
Title
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Shuai Han
Mehdi Dastani
Shihan Wang
24
0
0
13 May 2025
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Jasmeet Kaur
BDL
UQCV
70
0
0
15 Mar 2025
MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
Jimmy Chiun
Shizhe Zhang
Yizhuo Wang
Yuhong Cao
Guillaume Sartoretti
54
0
0
27 Feb 2025
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
Jie Liu
Pan Zhou
Yingjun Du
Ah-Hwee Tan
Cees G. M. Snoek
J. Sonke
E. Gavves
LLMAG
29
2
0
07 Nov 2024
CPIG: Leveraging Consistency Policy with Intention Guidance for
  Multi-agent Exploration
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration
Y. Fu
Yuanheng Zhu
Haoran Li
Zijie Zhao
Jiajun Chai
Dongbin Zhao
37
0
0
06 Nov 2024
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning
  for Inventory Control in Supply Chains
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains
Niki Kotecha
Antonio del Rio Chanona
28
2
0
24 Oct 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model
  with Meta-Exploration
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
Yun-Yen Chuang
Hung-Min Hsu
Kevin Lin
Chen-Sheng Gu
Ling Zhen Li
Ray-I Chang
Hung-yi Lee
DiffM
VLM
31
0
0
17 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Yun Qu
Boyuan Wang
Yuhang Jiang
Jianzhun Shao
Yixiu Mao
Cheems Wang
Chang Liu
Xiangyang Ji
46
4
0
03 Oct 2024
Multi-Agent Continuous Control with Generative Flow Networks
Multi-Agent Continuous Control with Generative Flow Networks
Shuang Luo
Yinchuan Li
Shunyu Liu
Xu Zhang
Yunfeng Shao
Chao Wu
AI4CE
27
2
0
13 Aug 2024
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
27
2
0
28 May 2024
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through
  Exploiting State-Action Space Structure
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
Zhicheng Zhang
Yancheng Liang
Yi Wu
Fei Fang
21
2
0
01 May 2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent
  Reinforcement Learning
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na
Yunkyeong Seo
IL-Chul Moon
24
7
0
02 Mar 2024
Adaptive trajectory-constrained exploration strategy for deep
  reinforcement learning
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
22
3
0
27 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
28
8
0
15 Dec 2023
Optimistic Multi-Agent Policy Gradient
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao
Yi Zhao
Zhiyuan Li
Juho Kannala
J. Pajarinen
15
0
0
03 Nov 2023
Recipes for calibration and validation of agent-based models in cancer
  biomedicine
Recipes for calibration and validation of agent-based models in cancer biomedicine
Nicolò Cogno
Cristian Axenie
Roman Bauer
V. Vavourakis
AI4CE
11
0
0
30 Oct 2023
Iteratively Learn Diverse Strategies with State Distance Information
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu
Weihua Du
Jingwei Li
Sunli Chen
Jingzhao Zhang
Yi Wu
43
3
0
23 Oct 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
27
5
0
22 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chongjie Zhang
Qianchuan Zhao
24
2
0
19 Aug 2023
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent
  Reinforcement Learning
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
Xiao Hu
P. Guo
Chuanwei Zhou
Tong Zhang
Zhen Cui
27
0
0
24 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation
Multi-agent Exploration with Sub-state Entropy Estimation
Jian Tao
Yang Zhang
Yang Chen
Xiu Li
18
1
0
10 Jun 2023
Graph Exploration for Effective Multi-agent Q-Learning
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan
A. H. Sayed
32
1
0
19 Apr 2023
Pretrained Language Models as Visual Planners for Human Assistance
Pretrained Language Models as Visual Planners for Human Assistance
Dhruvesh Patel
H. Eghbalzadeh
Nitin Kamra
Michael L. Iuzzolino
Unnat Jain
Ruta Desai
LM&Ro
19
24
0
17 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl
Russell Mendonca
Lili Chen
Unnat Jain
Deepak Pathak
35
160
0
17 Apr 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent
  Reinforcement Learning
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Minchan Jeong
Se-Young Yun
25
1
0
03 Mar 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement
  Learning
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning
Jiong Li
Pratik Gajane
26
4
0
21 Feb 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent
  Reinforcement Learning
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Lukas Schafer
Oliver Slumbers
Stephen Marcus McAleer
Yali Du
Stefano V. Albrecht
D. Mguni
74
7
0
07 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Guangchong Zhou
Zeren Zhang
Guoliang Fan
28
3
0
04 Feb 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
39
5
0
05 Jan 2023
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement
  Learning
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
M. Ibrahim
Ammar Fayad
22
1
0
14 Dec 2022
Last-Mile Embodied Visual Navigation
Last-Mile Embodied Visual Navigation
Justin Wasserman
Karmesh Yadav
Girish Chowdhary
Abhi Gupta
Unnat Jain
28
34
0
21 Nov 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
21
0
0
24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
53
8
0
23 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat
M. Turchetta
M. Zeilinger
Andreas Krause
26
14
0
12 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
39
49
0
21 Sep 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
19
0
0
16 Aug 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks
  and Environmental Factors without Precise Reward Functions
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim
Ji-Yun Oh
Yongsik Lee
Joonkee Kim
S. Kim
Song Chong
Se-Young Yun
8
2
0
05 Jul 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
16
35
0
20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
29
32
0
15 Jun 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge
  Using Language
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
A. Schwing
RALM
17
12
0
12 May 2022
ESNI: Domestic Robots Design for Elderly and Disabled People
ESNI: Domestic Robots Design for Elderly and Disabled People
Junchi Chu
Xueyun Tang
LM&Ro
8
1
0
30 Mar 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic
  Equilibrium Computation
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa
Maryam Kamgarpour
Andreas Krause
16
16
0
14 Mar 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent
  Reinforcement Learning
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning
Hon Tik Tse
Hofung Leung
14
1
0
26 Jan 2022
Interpretation of Emergent Communication in Heterogeneous Collaborative
  Embodied Agents
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel
Saim Wani
Unnat Jain
A. Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
24
25
0
12 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Huazhong Yang
Yu Wang
Yi Wu
13
28
0
12 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
28
92
0
14 Sep 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated
  Agents
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents
Ammar Fayad
M. Ibrahim
14
5
0
28 Aug 2021
The Surprising Effectiveness of Visual Odometry Techniques for Embodied
  PointGoal Navigation
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
Xiaoming Zhao
Harsh Agrawal
Dhruv Batra
A. Schwing
28
40
0
26 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual
  Multi-Agent Reinforcement Learning
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
16
15
0
06 Aug 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated
  Exploration
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
Lukas Schafer
Filippos Christianos
Josiah P. Hanna
Stefano V. Albrecht
34
22
0
19 Jul 2021
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