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. 2401.11963
  4. Cited By
Bridging Evolutionary Algorithms and Reinforcement Learning: A
  Comprehensive Survey on Hybrid Algorithms

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms

22 January 2024
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
ArXivPDFHTML

Papers citing "Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms"

12 / 12 papers shown
Title
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
98
2
0
01 Nov 2024
Behaviour Distillation
Behaviour Distillation
Andrei Lupu
Chris Xiaoxuan Lu
Jarek Liesen
R. T. Lange
Jakob Foerster
DD
36
4
0
21 Jun 2024
Short vs. Long-term Coordination of Drones: When Distributed
  Optimization Meets Deep Reinforcement Learning
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Chuhao Qin
Evangelos Pournaras
13
1
0
16 Nov 2023
Mix-ME: Quality-Diversity for Multi-Agent Learning
Mix-ME: Quality-Diversity for Multi-Agent Learning
Gardhar Ingvarsson
Mikayel Samvelyan
Bryan Lim
Manon Flageat
Antoine Cully
Tim Rocktaschel
31
2
0
03 Nov 2023
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Heng Dong
Junyu Zhang
Chongjie Zhang
24
2
0
01 Nov 2023
Rethinking Population-assisted Off-policy Reinforcement Learning
Rethinking Population-assisted Off-policy Reinforcement Learning
Bowen Zheng
Ran Cheng
OffRL
23
9
0
04 May 2023
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A Survey
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
43
52
0
07 Mar 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Jinyi Liu
Yingfeng Chen
Changjie Fan
58
12
0
02 Oct 2022
Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
Yunxiao Guo
Xinjia Xie
Runhao Zhao
Chenglan Zhu
Jiangting Yin
Han Long
21
2
0
10 Sep 2022
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
85
178
0
16 May 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
52
52
0
28 Sep 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
129
184
0
08 May 2020
1