1022 Open source projects that are alternatives of or similar to Cs234 Reinforcement Learning Winter 2019

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

Python library for Reinforcement Learning.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

A3C LSTM Atari with Pytorch plus A3G design

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

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

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

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

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

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

Gibson Environments: Real-World Perception for Embodied Agents

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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My Solution to Assignments of CS234

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

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

Trax — Deep Learning with Clear Code and Speed

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

OpenAI Gym wrapper for the DeepMind Control Suite

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

Code repository for the Animal AI Olympics competition

Guided Policy Search

Artificial intelligence for the Snake game.

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

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

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

TensorFlow and Deep Learning Tutorials

Deep Reinforcement Learning with pytorch & visdom

StarCraft II - pysc2 Deep Reinforcement Learning Examples

An OpenAI Gym Env for Panda

Reinforcement learning environments with musculoskeletal models

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

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

OpenAI Gym environments using DART

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Reinforcement Learning Algorithms

Using deep reinforcement learning to tackle the game 2048.

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

MuZero

Implementation of the Deep Q-learning algorithm to solve MDPs

For deep RL and the future of AI.

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

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Gridworld environments for OpenAI gym.

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Minimalistic gridworld package for OpenAI Gym

Notes and comments about Deep Reinforcement Learning papers

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019