534 Open source projects that are alternatives of or similar to Reinforcement Learning Stanford

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Flappy Bird AI using Evolution Strategies

Scalable, event-driven, deep-learning-friendly backtesting library

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Proximal Policy Optimization implementation with TensorFlow

Deep Reinforcement Learning with pytorch & visdom

Complete-Life-Cycle-of-a-Data-Science-Project

StarCraft II - pysc2 Deep Reinforcement Learning Examples

A Platform for Many-agent Reinforcement Learning

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Awesome free machine learning and AI courses with video lectures.

Trax — Deep Learning with Clear Code and Speed

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

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

A minimalist environment for decision-making in autonomous driving

Grid2Op a testbed platform to model sequential decision making in power systems.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Simple tools for logging and visualizing, loading and training

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Computational framework for reinforcement learning in traffic control

This project was moved to: https://github.com/coax-dev/coax

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Reversi reinforcement learning by AlphaGo Zero methods.

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Asynchronous Methods for Deep Reinforcement Learning

A reinforcement learning package for Julia

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

References on Optimal Control, Reinforcement Learning and Motion Planning

Maze Applied Reinforcement Learning Framework

Monthly Series - Top 10 Machine Learning Articles

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Implementing reinforcement-learning algorithms for pysc2 -environment

Deep Reinforcement Learning for de-novo Drug Design

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Sokoban environment for OpenAI Gym

AI research environment for the Atari 2600 games 🤖.

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Using RGB Image as Visual Input for Mapless Robot Navigation

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).