1206 Open source projects that are alternatives of or similar to Async Deeprl

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A3C LSTM Atari with Pytorch plus A3G design

Repo for the Deep Reinforcement Learning Nanodegree program

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

Master Thesis: Limit order placement with Reinforcement Learning

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

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Python library for Reinforcement Learning.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

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

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

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.

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..

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

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

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

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

playing idealized trading games with deep reinforcement learning

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

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

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

A PyTorch library for building deep reinforcement learning agents.

Implementation of the Deep Q-learning algorithm to solve MDPs

A curated list of Monte Carlo tree search papers with implementations.

Arnold - DOOM Agent

DEEp Reinforcement learning framework

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)

Self-driving car simulator for the Duckietown universe

A course in reinforcement learning in the wild

Implementations of Reinforcement Learning Models in Tensorflow

For deep RL and the future of AI.

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

An OpenAI Gym Env for Panda

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

Guided Policy Search

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

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

Code repository for the Animal AI Olympics competition

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

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

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

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

Trax — Deep Learning with Clear Code and Speed

Deep Reinforcement Learning with pytorch & visdom

Gibson Environments: Real-World Perception for Embodied Agents

StarCraft II - pysc2 Deep Reinforcement Learning Examples

TensorFlow and Deep Learning Tutorials

OpenAI Gym environments using DART

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Reinforcement learning environments with musculoskeletal models

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

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

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

A gym environment for Stuart Armstrong's model of a treacherous turn.