Top 323 deep-reinforcement-learning open source projects

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

Reinforcement learning environments with musculoskeletal models

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

TensorFlow and Deep Learning Tutorials

Deep Reinforcement Learning with pytorch & visdom

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Trax — Deep Learning with Clear Code and Speed

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Open-source simulator for autonomous driving research.

Gibson Environments: Real-World Perception for Embodied Agents

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

An evolving guide to learning Deep Learning effectively.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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

Playing Mario with Deep Reinforcement Learning

Deep Reinforcement Learning based Trading Agent for Bitcoin

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Code repository for the Animal AI Olympics competition

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Guided Policy Search

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

List of awesome resources for machine learning-based algorithmic trading

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

The SSBM "Phillip" AI.

A3C LSTM Atari with Pytorch plus A3G design

Implementations of Reinforcement Learning Models in Tensorflow

A course in reinforcement learning in the wild

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

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

DEEp Reinforcement learning framework

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Python library for Reinforcement Learning.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A PyTorch library for building deep reinforcement learning agents.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Hierarchical Object Detection with Deep Reinforcement Learning

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Repo for the Deep Reinforcement Learning Nanodegree program

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

TensorFlow2 Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Play Google Chrome's T-rex game with TensorFlow

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.