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. 2212.04180
  4. Cited By
evosax: JAX-based Evolution Strategies

evosax: JAX-based Evolution Strategies

8 December 2022
R. T. Lange
ArXivPDFHTML

Papers citing "evosax: JAX-based Evolution Strategies"

38 / 38 papers shown
Title
Model Tensor Planning
Model Tensor Planning
An T. Le
K. Nguyen
Minh Nhat Vu
João Carvalho
Jan Peters
35
0
0
02 May 2025
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
Lishuang Wang
Mengfei Zhao
Enyu Liu
Kebin Sun
Ran Cheng
46
0
0
11 Apr 2025
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
Zhenyu Liang
Hao Li
Naiwei Yu
Kebin Sun
Ran Cheng
66
1
0
26 Mar 2025
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming
Lishuang Wang
Zhihong Wu
Kebin Sun
Zhuozhao Li
Ran Cheng
35
1
0
21 Jan 2025
Learning Evolution via Optimization Knowledge Adaptation
Learning Evolution via Optimization Knowledge Adaptation
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Fang Liu
Steve Yang
43
1
0
04 Jan 2025
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
Shanqing Yu
Meng Zhou
Jintao Zhou
M. Zhao
Yidan Song
Yao Lu
Zeyu Wang
Qi Xuan
35
0
0
31 Dec 2024
Stein Variational Evolution Strategies
Stein Variational Evolution Strategies
Cornelius V. Braun
Robert T. Lange
Marc Toussaint
31
0
0
14 Oct 2024
CAX: Cellular Automata Accelerated in JAX
CAX: Cellular Automata Accelerated in JAX
Maxence Faldor
Antoine Cully
27
2
0
03 Oct 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander David Goldie
Chris Xiaoxuan Lu
Matthew Jackson
Shimon Whiteson
Jakob N. Foerster
42
3
0
09 Jul 2024
Behaviour Distillation
Behaviour Distillation
Andrei Lupu
Chris Xiaoxuan Lu
Jarek Liesen
R. T. Lange
Jakob Foerster
DD
46
4
0
21 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora
Gokul Swamy
Chris Xiaoxuan Lu
Yee Whye Teh
Jakob Nicolaus Foerster
42
6
0
15 Jun 2024
Evolving Self-Assembling Neural Networks: From Spontaneous Activity to
  Experience-Dependent Learning
Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
Erwan Plantec
Joachin W. Pedersen
Milton L. Montero
Eleni Nisioti
Sebastian Risi
CLL
38
0
0
14 Jun 2024
Meta-Learning an Evolvable Developmental Encoding
Meta-Learning an Evolvable Developmental Encoding
Milton L. Montero
Erwan Plantec
Eleni Nisioti
J. Pedersen
Sebastian Risi
40
0
0
13 Jun 2024
Creative Text-to-Audio Generation via Synthesizer Programming
Creative Text-to-Audio Generation via Synthesizer Programming
Manuel Cherep
Nikhil Singh
Jessica Shand
25
3
0
01 Jun 2024
Mimicry and the Emergence of Cooperative Communication
Mimicry and the Emergence of Cooperative Communication
Dylan R. Cope
Peter McBurney
35
0
0
26 May 2024
Genetic Drift Regularization: on preventing Actor Injection from
  breaking Evolution Strategies
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies
Paul Templier
Emmanuel Rachelson
Antoine Cully
Dennis G. Wilson
26
0
0
07 May 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
Tensorized Ant Colony Optimization for GPU Acceleration
Tensorized Ant Colony Optimization for GPU Acceleration
Luming Yang
Tao Jiang
Ran Cheng
18
2
0
07 Apr 2024
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
Lishuang Wang
Mengfei Zhao
Enyu Liu
Kebin Sun
Ran Cheng
13
3
0
02 Apr 2024
GPU-accelerated Evolutionary Multiobjective Optimization Using
  Tensorized RVEA
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
Zhenyu Liang
Tao Jiang
Kebin Sun
Ran Cheng
35
5
0
01 Apr 2024
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural
  Networks
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
Tarek Kunze
Paul Templier
Dennis G. Wilson
35
0
0
20 Mar 2024
Gradient-free neural topology optimization
Gradient-free neural topology optimization
Gaweł Kuś
Miguel A. Bessa
AI4CE
35
0
0
07 Mar 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma
Hongshu Guo
Jiacheng Chen
Guojun Peng
Zhiguang Cao
Yining Ma
Yue-jiao Gong
SyDa
ALM
27
17
0
02 Mar 2024
Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural
  Networks
Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks
Kade Heckel
Thomas Nowotny
43
3
0
29 Feb 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew Jackson
Chris Xiaoxuan Lu
Louis Kirsch
R. T. Lange
Shimon Whiteson
Jakob N. Foerster
27
18
0
08 Feb 2024
Learning mirror maps in policy mirror descent
Learning mirror maps in policy mirror descent
Carlo Alfano
Sebastian Towers
Silvia Sapora
Chris Xiaoxuan Lu
Patrick Rebeschini
32
0
0
07 Feb 2024
Scaling Opponent Shaping to High Dimensional Games
Scaling Opponent Shaping to High Dimensional Games
Akbir Khan
Timon Willi
Newton Kwan
Andrea Tacchetti
Chris Xiaoxuan Lu
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
38
10
0
19 Dec 2023
minimax: Efficient Baselines for Autocurricula in JAX
minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang
Michael Dennis
Edward Grefenstette
Tim Rocktaschel
27
8
0
21 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient
  Federated Learning
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
Mohammad Mahdi Rahimi
Hasnain Irshad Bhatti
Younghyun Park
Humaira Kousar
Jaekyun Moon
FedML
40
7
0
13 Nov 2023
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box
  Optimization
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization
R. T. Lange
Tom Schaul
Yutian Chen
Chris Xiaoxuan Lu
Tom Zahavy
Valentin Dalibard
Sebastian Flennerhag
35
34
0
08 Apr 2023
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A Survey
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
45
52
0
07 Mar 2023
EvoTorch: Scalable Evolutionary Computation in Python
EvoTorch: Scalable Evolutionary Computation in Python
N. E. Toklu
Timothy James Atkinson
Vojtvech Micka
Paweł Liskowski
R. Srivastava
22
12
0
24 Feb 2023
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary
  Computation
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
Beichen Huang
Ran Cheng
Zhuozhao Li
Yaochu Jin
Kay Chen Tan
13
26
0
29 Jan 2023
Flow-Lenia: Towards open-ended evolution in cellular automata through
  mass conservation and parameter localization
Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
Erwan Plantec
Gautier Hamon
Mayalen Etcheverry
Pierre-Yves Oudeyer
Clément Moulin-Frier
B. Chan
13
9
0
14 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
34
5
0
12 Dec 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization
Discovering Evolution Strategies via Meta-Black-Box Optimization
R. T. Lange
Tom Schaul
Yutian Chen
Tom Zahavy
Valenti Dallibard
Chris Xiaoxuan Lu
Satinder Singh
Sebastian Flennerhag
44
47
0
21 Nov 2022
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
24
17
0
20 Nov 2022
Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Fast Moving Natural Evolution Strategy for High-Dimensional Problems
Masahiro Nomura
I. Ono
14
6
0
27 Jan 2022
1