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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.
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AppSignal
Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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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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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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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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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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DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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Python deep-reinforcement-learning discussion
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HaleHound CYD Review: Is a $15 Pwnagotchi Alternative Actually Worth It for WiFi Pentesting? [2026]
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A note from our sponsor - SaaSHub
www.saashub.com | 14 Oct 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 | 32,965 |
| 2 | cleanrl | 10,530 |
| 3 | pwnagotchi | 9,220 |
| 4 | pytorch-a2c-ppo-acktr-gail | 3,903 |
| 5 | FinRL-Trading | 3,805 |
| 6 | rlcard | 3,553 |
| 7 | tensorforce | 3,305 |
| 8 | minimalRL | 3,214 |
| 9 | habitat-lab | 3,149 |
| 10 | rl-baselines3-zoo | 2,890 |
| 11 | muzero-general | 2,864 |
| 12 | PPO-PyTorch | 2,385 |
| 13 | FinRL-Meta | 1,947 |
| 14 | d3rlpy | 1,684 |
| 15 | softlearning | 1,437 |
| 16 | DI-star | 1,393 |
| 17 | DRL-robot-navigation | 1,378 |
| 18 | PyGame-Learning-Environment | 1,062 |
| 19 | crypto-rl | 967 |
| 20 | AgileRL | 957 |
| 21 | deepdrive | 926 |
| 22 | autonomous-learning-library | 657 |
| 23 | DeepRL-TensorFlow2 | 600 |