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. 1909.07528
  4. Cited By
Emergent Tool Use From Multi-Agent Autocurricula

Emergent Tool Use From Multi-Agent Autocurricula

17 September 2019
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
    LRM
ArXivPDFHTML

Papers citing "Emergent Tool Use From Multi-Agent Autocurricula"

50 / 153 papers shown
Title
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Lang Feng
Jiahao Lin
Dong Xing
Li Zhang
De Ma
Gang Pan
36
0
0
16 May 2025
Interpretable Risk Mitigation in LLM Agent Systems
Interpretable Risk Mitigation in LLM Agent Systems
Jan Chojnacki
LLMAG
23
0
0
15 May 2025
Reciprocity as the Foundational Substrate of Society: How Reciprocal Dynamics Scale into Social Systems
Reciprocity as the Foundational Substrate of Society: How Reciprocal Dynamics Scale into Social Systems
Egil Diau
28
0
0
13 May 2025
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
Timothée Anne
Noah Syrkis
Meriem Elhosni
Florian Turati
Franck Legendre
Alain Jaquier
Sebastian Risi
26
0
0
10 May 2025
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
Yufei Lin
Chengwei Ye
Jun Wang
Kangsheng Wang
Linuo Xu
Shuyan Liu
Zeyu Zhang
40
1
0
08 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Christian Schroeder de Witt
AAML
AI4CE
231
1
0
04 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Mohamad Abdul Hady
Siyi Hu
Mahardhika Pratama
Jimmy Cao
Ryszard Kowalczyk
29
0
0
29 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems
An Efficient Approach for Cooperative Multi-Agent Learning Problems
Ángel Aso-Mollar
Eva Onaindia
26
0
0
07 Apr 2025
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Bowen Baker
Joost Huizinga
Leo Gao
Zehao Dou
M. Guan
Aleksander Mądry
Wojciech Zaremba
J. Pachocki
David Farhi
LRM
77
13
0
14 Mar 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
54
0
0
07 Mar 2025
Stay Focused: Problem Drift in Multi-Agent Debate
Stay Focused: Problem Drift in Multi-Agent Debate
Jonas Becker
Lars Benedikt Kaesberg
Andreas Stephan
Jan Philip Wahle
Terry Ruas
Bela Gipp
59
1
0
26 Feb 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Ahmed Alagha
Jamal Bentahar
Hadi Otrok
Shakti Singh
R. Mizouni
55
3
0
19 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
29
2
0
08 Nov 2024
RL, but don't do anything I wouldn't do
RL, but don't do anything I wouldn't do
Michael K. Cohen
Marcus Hutter
Yoshua Bengio
Stuart J. Russell
OffRL
35
2
0
08 Oct 2024
Training Interactive Agent in Large FPS Game Map with Rule-enhanced
  Reinforcement Learning
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
Chen Zhang
Huan Hu
Yuan Zhou
Qiyang Cao
Ruochen Liu
Wenya Wei
Elvis S. Liu
AI4CE
27
0
0
07 Oct 2024
Enabling Multi-Robot Collaboration from Single-Human Guidance
Enabling Multi-Robot Collaboration from Single-Human Guidance
Zhengran Ji
Lingyu Zhang
Paul Sajda
Boyuan Chen
42
1
0
30 Sep 2024
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
41
6
0
03 Jul 2024
Massively Multiagent Minigames for Training Generalist Agents
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
AI4CE
34
0
0
07 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
45
22
0
06 Jun 2024
Learning diverse attacks on large language models for robust red-teaming and safety tuning
Learning diverse attacks on large language models for robust red-teaming and safety tuning
Seanie Lee
Minsu Kim
Lynn Cherif
David Dobre
Juho Lee
...
Kenji Kawaguchi
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Moksh Jain
AAML
63
12
0
28 May 2024
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z. Leibo
GNN
37
28
0
22 May 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang
Zeyuan Wang
Qiushi Lyu
Zheyuan Zhang
Sunli Chen
Tianmin Shu
Yilun Du
Kwonjoon Lee
Yilun Du
Chuang Gan
50
12
0
16 Apr 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
40
0
0
15 Apr 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
Zixuan Wu
Sean Ye
Manisha Natarajan
Matthew C. Gombolay
83
6
0
16 Mar 2024
Refined Sample Complexity for Markov Games with Independent Linear
  Function Approximation
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation
Yan Dai
Qiwen Cui
S. S. Du
51
1
0
11 Feb 2024
Emergence of Collective Open-Ended Exploration from Decentralized
  Meta-Reinforcement Learning
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning
Richard Bornemann
Gautier Hamon
Eleni Nisioti
Clément Moulin-Frier
LRM
29
1
0
01 Nov 2023
Fair collaborative vehicle routing: A deep multi-agent reinforcement
  learning approach
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
Stephen Mak
Liming Xu
Tim Pearce
Michael Ostroumov
Alexandra Brintrup
37
11
0
26 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
53
3
0
23 Oct 2023
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player
  Zero-Sum Games
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games
Yang Li
Kun Xiong
Yingping Zhang
Jiangcheng Zhu
Stephen Marcus McAleer
Wei Pan
Jun Wang
Zonghong Dai
Yaodong Yang
39
2
0
09 Aug 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent
  coordination and autocurricula
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Chin-Teng Lin
Yuhui Shi
38
1
0
27 Jul 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park
Kaipeng Zhang
Asuman Ozdaglar
32
8
0
13 Jul 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang
Weihua Du
Jiaming Shan
Qinhong Zhou
Yilun Du
J. Tenenbaum
Tianmin Shu
Chuang Gan
LLMAG
LM&Ro
59
158
0
05 Jul 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and
  Bidirectional Curriculum
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Jigang Kim
Daesol Cho
H. J. Kim
27
3
0
17 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement
  Learning
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
50
143
0
26 Apr 2023
Hierarchical State Abstraction Based on Structural Information
  Principles
Hierarchical State Abstraction Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
Chunyang Liu
Lifang He
Philip S. Yu
31
18
0
24 Apr 2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent
  Asymmetric-Evolution Reinforcement Learning
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Chenglu Sun
Yi-cui Zhang
Yu Zhang
Ziling Lu
Jingbin Liu
Si-Qi Xu
Weidong Zhang
27
0
0
20 Apr 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality
Learning Agile, Vision-based Drone Flight: from Simulation to Reality
Davide Scaramuzza
Elia Kaufmann
42
3
0
09 Apr 2023
Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones
Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones
Jiaping Xiao
Mir Feroskhan
AAML
43
7
0
07 Apr 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural
  Information Principles
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
19
29
0
03 Apr 2023
Rule Enforcing Through Ordering
Rule Enforcing Through Ordering
David Sychrovský
S. Desai
M. Loebl
11
0
0
31 Mar 2023
Reinforcement Learning Based Self-play and State Stacking Techniques for
  Noisy Air Combat Environment
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment
A. Tasbas
S. O. Sahin
N. K. Üre
23
3
0
06 Mar 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
41
38
0
21 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in
  Multiagent Reinforcement Learning
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
40
11
0
11 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to
  Cooperative Multi-Agent Reinforcement Learning
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk
Seyed Alireza Bakhtiari
Johannes Kirschner
Matej Jusup
Ilija Bogunovic
Csaba Szepesvári
32
5
0
08 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for
  Reinforcement Learning through Value-Decomposition
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z. Leibo
26
2
0
02 Feb 2023
Multi-Agent Interplay in a Competitive Survival Environment
Multi-Agent Interplay in a Competitive Survival Environment
Andrea Fanti
23
0
0
19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
40
109
0
18 Jan 2023
Learning to solve arithmetic problems with a virtual abacus
Learning to solve arithmetic problems with a virtual abacus
Flavio Petruzzellis
Ling-Hao Chen
Alberto Testolin
34
1
0
17 Jan 2023
A Survey on Transformers in Reinforcement Learning
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
37
56
0
08 Jan 2023
Computational Charisma -- A Brick by Brick Blueprint for Building
  Charismatic Artificial Intelligence
Computational Charisma -- A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence
Björn W. Schuller
Shahin Amiriparian
A. Batliner
Alexander Gebhard
Maurice Gerczuk
Vincent Karas
Alexander Kathan
Lennart Seizer
Johanna Löchner
39
4
0
31 Dec 2022
1234
Next