817 Open source projects that are alternatives of or similar to Ma Gym

Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Teach a Quadcopter How to Fly!

60_Days_RL_Challenge中文版

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

GPU Javascript Library for Machine Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Machine Learning notebooks for refreshing concepts.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Awesome free machine learning and AI courses with video lectures.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

POMDPs in Python.

self-studying the Sutton & Barto the hard way

A Platform for Many-agent Reinforcement Learning

Artificial Intelligence Learning Notes.

Clone of OpenAI's Spinning Up in PyTorch

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

My Solution to Assignments of CS234

Loads environment variables from `.env` to `getenv()`, `$_ENV` and `$_SERVER` automagically.

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

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

200 lines realtime todos app powered by next.js, preact, jet, redux and now

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

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

Julia code for the book Reinforcement Learning An Introduction

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Workout-Tracking app built in ES6 using react, flux and ImmutableJS

C51-DDQN in Keras

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Using deep reinforcement learning to tackle the game 2048.

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Conversational AI Reading Materials

Tensorflow Implement of GeoMAN, IJCAI-18

This is the implementation of paper Model Free Episodic Control

Community driven open source accelerator

Reinforcement learning models in ViZDoom environment

Safe Bayesian Optimization

Simple tools for logging and visualizing, loading and training

direnv integration for emacs

ProMP: Proximal Meta-Policy Search

A working implementation of the Categorical DQN (Distributional RL).

Front-End Development Environment

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Gem to display the rails environment on the favicon

Repository to accompany RSS 2018 paper on dexterous hand manipulation