518 Open source projects that are alternatives of or similar to Deep Reinforcement Learning Gym

Autonomous Drifting using Reinforcement Learning

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FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

TensorFlow and Deep Learning Tutorials

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

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Live Trading. Please star.

Python library for Reinforcement Learning.

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

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

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Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Repo for the Deep Reinforcement Learning Nanodegree program

A3C LSTM Atari with Pytorch plus A3G design

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)

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Cloud-native Financial Reinforcement Learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Deep Reinforcement Learning for Robotic Grasping from Octrees

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning for Super Mario Bros using A3C on GPU

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

Deep Reinforcement Learning Algorithms Implementation in PyTorch

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Noisy Networks for Exploration

Code for "Gradient Surgery for Multi-Task Learning"

深度学习论文阅读路线图

Material for the tutorial: "Deep Diving into GANs: from theory to production"

NLP Tensorflow Tutorials

An offline deep reinforcement learning library

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

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

A reinforcement learning package for Julia

YoloV3 Implemented in Tensorflow 2.0

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Attention-guided CNN for image denoising(Neural Networks,2020)

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.

Unity Machine Learning Agents Toolkit

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

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

Reinforcement learning with tensorflow 2 keras