deep-reinforcement-learning

Open-source projects categorized as deep-reinforcement-learning

Top 23 deep-reinforcement-learning Open-Source Projects

  • 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.

  • ml-agents

    The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  • Project mention: How do I change the maximum number of steps for training | /r/MLAgents | 2023-12-07
  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • AirSim

    Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

  • deep-learning-drizzle

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  • carla

    Open-source simulator for autonomous driving research.

  • Project mention: Tesla braces for its first trial involving Autopilot fatality | news.ycombinator.com | 2023-08-28
  • FinRL

    FinRL: Financial Reinforcement Learning. πŸ”₯

  • Project mention: Batendo BOVA11 - Approach usando Reinforcement Learning | /r/farialimabets | 2023-09-11

    FinRL ---> https://github.com/AI4Finance-Foundation/FinRL

  • trax

    Trax β€” Deep Learning with Clear Code and Speed

  • Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23

    Is t5x an encoder/decoder architecture?

    Some more general options.

    The Flax ecosystem

    https://github.com/google/flax?tab=readme-ov-file

    or dm-haiku

    https://github.com/google-deepmind/dm-haiku

    were some of the best developed communities in the Jax AI field

    Perhaps the β€œtrax” repo? https://github.com/google/trax

    Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...

    Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • pwnagotchi

    (βŒβ– _β– ) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

  • Project mention: Pwnagotchi: Deep Reinforcement Learning for WiFi Hacking | news.ycombinator.com | 2024-01-27
  • introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • Practical_RL

    A course in reinforcement learning in the wild

  • cleanrl

    High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  • Project mention: [P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials) | /r/reinforcementlearning | 2023-08-24

    PettingZoo 1.24.0 is now live! This release includes Python 3.11 support, updated Chess and Hanabi environment versions, and many bugfixes, documentation updates and testing expansions. We are also very excited to announce 3 tutorials using Stable-Baselines3, and a full training script using CleanRL with TensorBoard and WandB.

  • Reinforcement-Learning

    Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)

  • deep-rl-class

    This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

  • 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).

  • tensorforce

    Tensorforce: a TensorFlow library for applied reinforcement learning

  • awesome-RLHF

    A curated list of reinforcement learning with human feedback resources (continually updated)

  • minimalRL

    Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  • rlcard

    Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

  • Project mention: [P] Looking for RL or rules-based No-Limit Hold 'Em Work | /r/MachineLearning | 2023-06-03
  • Awesome-System-for-Machine-Learning

    A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

  • muzero-general

    MuZero

  • Project mention: Open source rules engine for Magic: The Gathering | news.ycombinator.com | 2023-12-14

    I went looking for MuZero implementations in order to see how, exactly, they interact with the game space. Based on this one, which had the most stars in the muzero topic, it appears that it needs to be able to discern legal next steps from the current game state https://github.com/werner-duvaud/muzero-general/blob/master/...

    So, I guess for the cards Forge has implemented one could MuZero it, but I believe it's a bit chicken and egg with a "free text" game like M:TG -- in order to train one would need to know legal steps for any random game state, but in order to have legal steps one would need to be able to read and interpret English rules and card text

  • FinRL-Trading

    For trading. Please star.

  • drl-zh

    Deep Reinforcement Learning: Zero to Hero!

  • Project mention: Deep Reinforcement Learning: Zero to Hero | news.ycombinator.com | 2024-05-05

    While trying to learn the latest in Deep Reinforcement Learning, I was able to take advantage of many excellent resources (see credits [1]), but I couldn't find one that provided the right balance between theory and practice for my personal experience. So I decided to create something myself, and open-source it for the community, in case it might be useful to someone else.

    None of that would have been possible without all the resources listed in [1], but I rewrote all algorithms in this series of Python notebooks from scratch, with a with a "pedagogical approach" in mind. It is a hands-on step-by-step tutorial about Deep Reinforcement Learning techniques (up ~2018/2019 SOTA) guiding through theory and coding exercises on the most utilized algorithms (QLearning, DQN, SAC, PPO, etc.)

    I shamelessly stole the title from a hero of mine, Andrej Karpathy, and his "Neural Network: Zero To Hero" [2] work. I also meant to work on a series of YouTube videos, but didn't have the time yet. If this posts gets any type of interest, I might go back to it. Thank you.

    P.S.: A friend of mine suggested me to post here, so I followed their advice: this is my first post, I hope it properly abides with the rules of the community.

    [1] https://github.com/alessiodm/drl-zh/blob/main/00_Intro.ipynb

  • rl-baselines3-zoo

    A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  • Project mention: Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3) | /r/reinforcementlearning | 2023-06-27

    I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:

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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).

deep-reinforcement-learning related posts

  • Deep Reinforcement Learning: Zero to Hero

    3 projects | news.ycombinator.com | 5 May 2024
  • AI-generated sad girl with piano performs the text of the MIT License

    2 projects | news.ycombinator.com | 11 Apr 2024
  • Pwnagotchi: Deep Reinforcement Learning for WiFi Hacking

    1 project | news.ycombinator.com | 27 Jan 2024
  • Making Synthesized Sounds More Acoustic

    2 projects | news.ycombinator.com | 20 Dec 2023
  • FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0

    1 project | /r/algoprojects | 9 Dec 2023
  • FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)

    1 project | /r/algoprojects | 9 Dec 2023
  • The Power of Reinforcement Learning: look how this DeepRL Sektor model found a smart, super-cool exploit for Ultimate Mortal Kombat 3 in the video of a submission on DIAMBRA competition platform!

    1 project | /r/reinforcementlearning | 9 Dec 2023
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Index

What are some of the best open-source deep-reinforcement-learning projects? This list will help you:

Project Stars
1 ML-From-Scratch 23,375
2 ml-agents 16,462
3 AirSim 15,962
4 deep-learning-drizzle 11,850
5 carla 10,628
6 FinRL 9,240
7 trax 7,970
8 pwnagotchi 7,270
9 introtodeeplearning 7,016
10 Practical_RL 5,776
11 cleanrl 4,633
12 Reinforcement-Learning 4,091
13 deep-rl-class 3,667
14 pytorch-a2c-ppo-acktr-gail 3,491
15 tensorforce 3,284
16 awesome-RLHF 2,872
17 minimalRL 2,725
18 rlcard 2,740
19 Awesome-System-for-Machine-Learning 2,490
20 muzero-general 2,396
21 FinRL-Trading 1,911
22 drl-zh 1,896
23 rl-baselines3-zoo 1,824

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