393 Open source projects that are alternatives of or similar to Drqn Tensorflow

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

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

Master Thesis: Limit order placement with Reinforcement Learning

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

OpenAI Gym wrapper for the DeepMind Control Suite

[파이썬과 케라스로 배우는 강화학습] 예제

OpenAI's cartpole env solver.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Autonomous Drifting using Reinforcement Learning

Pytorch Implementation of RL algorithms

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Solving OpenAI Gym problems.

A collection of multi agent environments based on OpenAI gym.

AI research environment for the Atari 2600 games 🤖.

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

Implementations of deep RL papers and random experimentation

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

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

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

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

Run OpenAI Gym on a Server

Python library for Reinforcement Learning.

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

Structural implementation of RL key algorithms

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

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

Self hosted FLOSS fitness/workout, nutrition and weight tracker written with Django

A javascript library which dithers an <img> using a fixed palette

i8080 precise replica in Verilog, based on reverse engineering of real die

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

MuZero

👾 A Forth-based Game Boy development kit

ROS 2 enabled Machine Learning algorithms

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

💈 Retro looking progress bar straight from the 90s

A Trading environment base on Gym

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

A bare-bones Python library for quality diversity optimization.

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

A replayable arcade shooter with a focus on build theorycrafting made using Lua and LÖVE.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

tapuino

Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.

Chocolate Doom is a Doom source port that is minimalist and historically accurate.

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

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

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Minimalistic gridworld package for OpenAI Gym

Tetris game powered by Ruby2D

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.