A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Evolutionary Algorithm using Python

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

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

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

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

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

✍🏻gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖📝

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

A PyTorch implementation of OpenAI's REPTILE algorithm

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

OpenAI's cartpole env solver.

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

AI research environment for the game of Snake 🐍 .

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

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

OpenAI Gym wrapper for the DeepMind Control Suite

Reinforcement learning in Julia. Solving OpenAI gym.

An open AI environment using selenium + docker for training automated web agents

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

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)