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Top 23 Python deep-reinforcement-learning Projects
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ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
So.. which Open Source project did you chose? https://github.com/eriklindernoren/ML-From-Scratch Okay, I know I said much things about moving out of comfort zone but I am still bit scared and worried. So, I've decided to start from an area that I am familiar with. First of all, this open source project is called "ML-From-Scratch". It's a learning resource that demystifies machine learning by showing the fundamental code for a wide range of models. Past few months, I have been studying Machin Learning with Data science. This project reveals what is actually going on behind the libraries and algorithms so people can understand the core functionality of machine learning (ML). This choice feels right for my "coder to developer" journey. As I contribute to the project, I will be exposed to deeper knowledge of machine learning.
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cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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Project mention: HaleHound CYD Review: Is a $15 Pwnagotchi Alternative Actually Worth It for WiFi Pentesting? [2026] | dev.to | 2026-04-26
The Pwnagotchi, created by security researcher evilsocket, runs on a Raspberry Pi Zero W and uses an A2C-based reinforcement learning model to optimize handshake capture. It learns from its environment over time, getting better at choosing targets and timing attacks. Full Linux stack, bettercap for network manipulation, captured handshakes in PCAP format ready for hashcat.
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pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
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DI-star
An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
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DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
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PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
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crypto-rl
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
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deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python deep-reinforcement-learning discussion
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jun 2026
Index
What are some of the best open-source deep-reinforcement-learning projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | ML-From-Scratch | 31,248 |
| 2 | cleanrl | 9,911 |
| 3 | pwnagotchi | 9,096 |
| 4 | pytorch-a2c-ppo-acktr-gail | 3,902 |
| 5 | rlcard | 3,429 |
| 6 | tensorforce | 3,308 |
| 7 | FinRL-Trading | 3,256 |
| 8 | minimalRL | 3,184 |
| 9 | habitat-lab | 3,011 |
| 10 | rl-baselines3-zoo | 2,828 |
| 11 | muzero-general | 2,819 |
| 12 | PPO-PyTorch | 2,333 |
| 13 | FinRL-Meta | 1,885 |
| 14 | d3rlpy | 1,663 |
| 15 | softlearning | 1,425 |
| 16 | DI-star | 1,344 |
| 17 | DRL-robot-navigation | 1,308 |
| 18 | PyGame-Learning-Environment | 1,058 |
| 19 | crypto-rl | 948 |
| 20 | deepdrive | 926 |
| 21 | AgileRL | 924 |
| 22 | autonomous-learning-library | 655 |
| 23 | DeepRL-TensorFlow2 | 603 |
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