Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 378 |
| 2026-08-01 | 378 |
| 2026-08-02 | 378 |
| 2026-08-04 | 377 |
| 2026-08-06 | 377 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
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# 🚀 Awesome-Evolutionary-Reinforcement-Learning
Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs) and Reinforcement Learning (RL) for optimization, has demonstrated remarkable performance advancements. By fusing the strengths of both approaches, ERL has emerged as a promising research direction.
**We want to create a survey that researchers from different academic backgrounds can quickly understand and get started with.**
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# 🚨 Important Notice
<p><strong>10-12-2025: If you would like your paper to be included in the survey, please open an issue on this GitHub repository and provide the BibTeX entry along with a brief description of your method (including its category). I will review and participate in the discussion, and the updated arXiv version will be released at the end of October.</strong></p>
# 📋 Update List
**This repository is under construction ...**
**26 July 2024**: :fire::fire::fire: **The paper has been accepted by the top journal in evolutionary computation (IEEE Transactions on Evolutionary Computation, TEvC).**
**20 June 2024**: Our survey paper (new version) has been updated on arXiv. Arxiv: **[Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms](https://ieeexplore.ieee.org/document/10637292)** **This survey is now categorized to better align with the conventions of researchers in different fields, providing a quicker and more accessible introduction for researchers.**
**20 January 2024**: I am updating the survey on this topic and will fully update the site when the survey is updated.
**If you discover any related works that I have missed, please submit an issue. I will update it in the survey and on the website. Thank you very much!**
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# 🔑 Comments
* **If you want to get started, I recommend referring to the *Accepted Papers with the Released Code*, as it provides an easy way to explore research papers and their associated code implementations.
Furthermore, building your algorithm on top of state-of-the-art algorithms will greatly enhance your productivity and efficiency.**
* If you are interested in sequential decision-making problems, it is recommended to focus primarily on **EA-Assisted Optimization of RL** and **Synergistic Optimization of EA and RL**. If you are interested in other optimization problems, it is suggested to pay attention to **RL-Assisted Optimization of EA**. I primarily focus on the former.
**If you do find our survey or the repository helpful (or if you would be so kind as to offer us some encouragement), please consider kindly giving a star, and citing our paper.**
```
@ARTICLE{10637292,
author={Li, Pengyi and Hao, Jianye and Tang, Hongyao and Fu, Xian and Zhen, Yan and Tang, Ke},
journal={IEEE Transactions on Evolutionary Computation},
title={Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms},
year={2024},
keywords={Optimization;Sociology;Evolutionary computation;Decision making;Surveys;Reinforcement learning;Genomics;Evolutionary Algorithms;Reinforcement Learning;Evolutionary
Reinforcement Learning},
doi={10.1109/TEVC.2024.3443913}}
```
**Other Surveys:**
- Combining evolution and deep reinforcement learning for policy search: a survey
- Deep reinforcement learning versus evolution strategies: A comparative survey
- A survey on evolutionary reinforcement learning algorithms
- Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
- Evolutionary computation and the reinforcement learning problem
- Evolutionary reinforcement learning: A survey
# 🎥 Resources
We provide three main research directions withExcerpt of 29,909 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ba3c2a13e91fd29c, name:reinforcement learning, desc:reinforcement learning