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Approximating Gradients for Differentiable Quality Diversity in
  Reinforcement Learning

Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning

8 February 2022
Bryon Tjanaka
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
ArXivPDFHTML

Papers citing "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

37 / 37 papers shown
Title
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
Siddharth Srikanth
Varun Bhatt
Boshen Zhang
Werner Hager
Charles Michael Lewis
Katia P. Sycara
Aaquib Tabrez
Stefanos Nikolaidis
LLMAG
80
0
0
04 Apr 2025
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
Manon Flageat
J. Huber
François Hélénon
Stéphane Doncieux
Antoine Cully
55
0
0
10 Feb 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
N. Dennler
Stefanos Nikolaidis
Maja J. Matarić
144
0
0
03 Jan 2025
Learning to Cooperate with Humans using Generative Agents
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang
Daphne Chen
Abhishek Gupta
S. Du
Natasha Jaques
SyDa
88
4
0
21 Nov 2024
Preference-Conditioned Gradient Variations for Multi-Objective
  Quality-Diversity
Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
Hannah Janmohamed
Maxence Faldor
Thomas Pierrot
Antoine Cully
83
1
0
19 Nov 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
144
0
0
11 Nov 2024
Online Behavior Modification for Expressive User Control of RL-Trained
  Robots
Online Behavior Modification for Expressive User Control of RL-Trained Robots
Isaac S. Sheidlower
Mavis Murdock
Emma Bethel
Reuben M. Aronson
E. Short
OffRL
37
3
0
15 Aug 2024
Achieving Human Level Competitive Robot Table Tennis
Achieving Human Level Competitive Robot Table Tennis
David B. DÁmbrosio
Saminda Abeyruwan
L. Graesser
Atil Iscen
H. B. Amor
...
Vikas Sindhwani
Vincent Vanhoucke
Grace Vesom
P. Xu
Pannag R. Sanketi
95
14
0
07 Aug 2024
Quality-Diversity with Limited Resources
Quality-Diversity with Limited Resources
Ren-Jian Wang
Ke Xue
Cong Guan
Chao Qian
29
2
0
06 Jun 2024
Quality with Just Enough Diversity in Evolutionary Policy Search
Quality with Just Enough Diversity in Evolutionary Policy Search
Paul Templier
Luca Grillotti
Emmanuel Rachelson
Dennis G. Wilson
Antoine Cully
35
1
0
07 May 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse
  Behaviors via Value and Successor Features Critics
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti
Maxence Faldor
Borja G. León
Antoine Cully
48
2
0
15 Mar 2024
Evolutionary Reinforcement Learning: A Systematic Review and Future
  Directions
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
Y. Lin
Fan Lin
Guorong Cai
Hong Chen
Lixin Zou
Pengcheng Wu
52
3
0
20 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A
  Comprehensive Survey on Hybrid Algorithms
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
39
9
0
22 Jan 2024
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Chao Qian
Ke Xue
Ren-Jian Wang
25
5
0
19 Jan 2024
Density Descent for Diversity Optimization
Density Descent for Diversity Optimization
David H. Lee
Anishalakshmi V. Palaparthi
Matthew C. Fontaine
Bryon Tjanaka
Stefanos Nikolaidis
28
1
0
18 Dec 2023
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement
  Learning
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
35
2
0
10 Dec 2023
Objectives Are All You Need: Solving Deceptive Problems Without Explicit
  Diversity Maintenance
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
Ryan Boldi
Lijie Ding
Lee Spector
16
3
0
04 Nov 2023
Diversifying AI: Towards Creative Chess with AlphaZero
Diversifying AI: Towards Creative Chess with AlphaZero
Tom Zahavy
Vivek Veeriah
Shaobo Hou
Kevin Waugh
Matthew Lai
Edouard Leurent
Nenad Tomašev
Lisa Schut
Demis Hassabis
Satinder Singh
37
15
0
17 Aug 2023
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Shashank Hegde
S. Batra
K.R. Zentner
Gaurav Sukhatme
43
12
0
30 May 2023
Proximal Policy Gradient Arborescence for Quality Diversity
  Reinforcement Learning
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
S. Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
Stefanos Nikolaidis
Gaurav Sukhatme
OffRL
53
12
0
23 May 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Varun Bhatt
Heramb Nemlekar
Matthew C. Fontaine
Bryon Tjanaka
Hejia Zhang
Ya-Chuan Hsu
Stefanos Nikolaidis
44
8
0
26 Apr 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of
  Quality-Diversity Solutions in Uncertain Domains
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Luca Grillotti
Manon Flageat
Bryan Lim
Antoine Cully
50
8
0
07 Apr 2023
Understanding the Synergies between Quality-Diversity and Deep
  Reinforcement Learning
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
Bryan Lim
Manon Flageat
Antoine Cully
OnRL
33
7
0
10 Mar 2023
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Manon Flageat
Bryan Lim
Antoine Cully
27
2
0
10 Mar 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
MAP-Elites with Descriptor-Conditioned Gradients and Archive
  Distillation into a Single Policy
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
35
18
0
07 Mar 2023
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Yulun Zhang
Nivedit Reddy Balam
N. Dennler
Sujay S. Garlanka
Nikitas Dimitri Klapsis
Stefanos Nikolaidis
26
37
0
01 Mar 2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity
  through Gradient Assistance and Crowding Exploration
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
26
5
0
24 Feb 2023
Evolving Flying Machines in Minecraft Using Quality Diversity
Evolving Flying Machines in Minecraft Using Quality Diversity
Alejandro Medina
Melanie Richey
Mark Mueller
Jacob Schrum
32
2
0
01 Feb 2023
Benchmarking Quality-Diversity Algorithms on Neuroevolution for
  Reinforcement Learning
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
Manon Flageat
Bryan Lim
Luca Grillotti
Maxime Allard
Simón C. Smith
Antoine Cully
21
14
0
04 Nov 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain
  Domains
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat
Félix Chalumeau
Antoine Cully
31
26
0
24 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
Training Diverse High-Dimensional Controllers by Scaling Covariance
  Matrix Adaptation MAP-Annealing
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Aniruddha Kalkar
Stefanos Nikolaidis
60
8
0
06 Oct 2022
Quality Diversity Evolutionary Learning of Decision Trees
Quality Diversity Evolutionary Learning of Decision Trees
Andrea Ferigo
Leonardo Lucio Custode
Giovanni Iacca
29
12
0
17 Aug 2022
Deep Surrogate Assisted Generation of Environments
Deep Surrogate Assisted Generation of Environments
Varun Bhatt
Bryon Tjanaka
Matthew C. Fontaine
Stefanos Nikolaidis
53
35
0
09 Jun 2022
Covariance Matrix Adaptation MAP-Annealing
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
45
25
0
22 May 2022
Accelerated Quality-Diversity through Massive Parallelism
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim
Maxime Allard
Luca Grillotti
Antoine Cully
24
16
0
02 Feb 2022
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