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Effective Diversity in Population Based Reinforcement Learning

Effective Diversity in Population Based Reinforcement Learning

3 February 2020
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
ArXivPDFHTML

Papers citing "Effective Diversity in Population Based Reinforcement Learning"

38 / 38 papers shown
Title
Improving Human-AI Coordination through Adversarial Training and Generative Models
Improving Human-AI Coordination through Adversarial Training and Generative Models
Paresh Chaudhary
Yancheng Liang
Daphne Chen
S. Du
Natasha Jaques
69
0
0
21 Apr 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
81
1
0
28 Jan 2025
CORD: Generalizable Cooperation via Role Diversity
CORD: Generalizable Cooperation via Role Diversity
Kanefumi Matsuyama
Kefan Su
Jiangxing Wang
Deheng Ye
Zongqing Lu
40
0
0
04 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
42
16
0
03 Jan 2025
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User
  Experiences in Recommender Systems
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
Changshuo Zhang
Sirui Chen
Xiao Zhang
Sunhao Dai
Weijie Yu
Jun Xu
OffRL
35
1
0
17 Jan 2024
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
51
3
0
23 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
33
8
0
08 Oct 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance
  Theory
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
Naoki Masuyama
Yusuke Nojima
Y. Toda
C. K. Loo
H. Ishibuchi
N. Kubota
FedML
37
3
0
07 Sep 2023
Robust Driving Policy Learning with Guided Meta Reinforcement Learning
Robust Driving Policy Learning with Guided Meta Reinforcement Learning
Kanghoon Lee
Jiachen Li
David Isele
Jinkyoo Park
K. Fujimura
Mykel J. Kochenderfer
29
5
0
19 Jul 2023
Mixture of personality improved Spiking actor network for efficient
  multi-agent cooperation
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Xiyun Li
Ziyi Ni
Jingqing Ruan
Linghui Meng
Jing Shi
Tielin Zhang
Bo Xu
61
4
0
10 May 2023
Learning Achievement Structure for Structured Exploration in Domains
  with Sparse Reward
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou
Animesh Garg
OffRL
22
3
0
30 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
36
6
0
14 Apr 2023
Evolving Populations of Diverse RL Agents with MAP-Elites
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot
Arthur Flajolet
33
8
0
09 Mar 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
26
17
0
15 Feb 2023
Generalization through Diversity: Improving Unsupervised Environment
  Design
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li
Pradeep Varakantham
Dexun Li
33
7
0
19 Jan 2023
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
23
4
0
22 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared
  State Representation and Individual Policy Representation
ERL-Re2^22: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Jianye Hao
Pengyi Li
Hongyao Tang
Yan Zheng
Xian Fu
Zhaopeng Meng
29
23
0
26 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
57
9
0
23 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Félix Chalumeau
Raphael Boige
Bryan Lim
Valentin Macé
Maxime Allard
Arthur Flajolet
Antoine Cully
Thomas Pierrot
26
21
0
06 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
29
3
0
24 Sep 2022
Bayesian Generational Population-Based Training
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
31
15
0
19 Jul 2022
Fast Population-Based Reinforcement Learning on a Single Machine
Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet
Claire Bizon Monroc
Karim Beguir
Thomas Pierrot
OffRL
30
10
0
17 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
34
32
0
15 Jun 2022
Covariance Matrix Adaptation MAP-Annealing
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
48
25
0
22 May 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy
  Optimization
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
25
28
0
04 Apr 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
46
11
0
01 Mar 2022
Approximating Gradients for Differentiable Quality Diversity in
  Reinforcement Learning
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
Bryon Tjanaka
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
38
50
0
08 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI
  Coordination
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
32
63
0
22 Dec 2021
Agent Spaces
Agent Spaces
John C. Raisbeck
M. W. Allen
Hakho Lee
30
1
0
11 Nov 2021
An Instance-Dependent Analysis for the Cooperative Multi-Player
  Multi-Armed Bandit
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
Aldo Pacchiano
Peter L. Bartlett
Michael I. Jordan
24
5
0
08 Nov 2021
Dueling RL: Reinforcement Learning with Trajectory Preferences
Dueling RL: Reinforcement Learning with Trajectory Preferences
Aldo Pacchiano
Aadirupa Saha
Jonathan Lee
33
81
0
08 Nov 2021
Differentiable Quality Diversity
Differentiable Quality Diversity
Matthew C. Fontaine
Stefanos Nikolaidis
51
89
0
07 Jun 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
22
67
0
14 Mar 2021
Multiple Plans are Better than One: Diverse Stochastic Planning
Multiple Plans are Better than One: Diverse Stochastic Planning
Mahsa Ghasemi
Evan Scope Crafts
Bo Zhao
Ufuk Topcu
23
5
0
31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
377
11,700
0
09 Mar 2017
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
173
1,123
0
25 Jul 2012
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