Top 962 reinforcement-learning open source projects

Artificial Intelligence Learning Notes.

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

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

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A reinforcement learning package for Julia

Train an RL agent to localize actively (PyTorch)

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Sokoban environment for OpenAI Gym

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Awesome Game AI materials of Multi-Agent Reinforcement Learning

POMDPs in Python.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

ProMP: Proximal Meta-Policy Search

The Retro Learning Environment (RLE) -- a learning framework for AI

This is Andrew NG Coursera Handwritten Notes.

A simple framework for experimenting with Reinforcement Learning in Python.

Tensorflow implementation of generative adversarial imitation learning

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Implementations of deep RL papers and random experimentation

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Reinforcement learning framework to accelerate research

AI research environment for the Atari 2600 games 🤖.

PyTorch implementation of Soft Actor-Critic (SAC)

A learning environment for man-made Interactive Fiction games.

An End-To-End, Lightweight and Flexible Platform for Game Research

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Collection of stats, modeling, and data science tools in Python and R.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

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

A library of reinforcement learning components and agents

Awesome free machine learning and AI courses with video lectures.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

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

Testbed for deep reinforcement learning

Reinforcement learning algorithms for MuJoCo tasks

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Scalable Implementation of Deep CFR and Single Deep CFR

A high-performance distributed training framework for Reinforcement Learning

Resources on various topics being worked on at IvLabs

Code for Java Deep Learning Cookbook

A structured implementation of MuZero

SenseAct: A computational framework for developing real-world robot learning tasks

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Trading environnement for RL agents, backtesting and training.

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Reinforcement learning for energy systems

AI斗地主

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

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.

Studying Reinforcement Learning Guide

A PyTorch implementation of Rainbow DQN agent