785 Open source projects that are alternatives of or similar to Naf Tensorflow

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

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

DrQ: Data regularized Q

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

PyTorch implementation of Soft Actor-Critic (SAC)

Reinforcement Learning Algorithms

MuZero

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

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

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

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

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

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

Using deep reinforcement learning to tackle the game 2048.

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.

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

For deep RL and the future of AI.

Sokoban environment for OpenAI Gym

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

Notes and comments about Deep Reinforcement Learning papers

An advanced program in Machine Learning and Deep Learning

AI research environment for the Atari 2600 games 🤖.

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

A Trading environment base on Gym

OpenAI Gym wrapper for the DeepMind Control Suite

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

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

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

Implementation of the Deep Q-learning algorithm to solve MDPs

My Solution to Assignments of CS234

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

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

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

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

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

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

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

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

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

🤖 Implements of Reinforcement Learning algorithms.

Highly Modular and Scalable Reinforcement Learning

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

Artificial intelligence for the Snake game.

Deep Reinforcement Learning (DRL) agents applied to medical images

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Teach a Quadcopter How to Fly!

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

Resources, papers, tutorials

Unity Machine Learning Agents Toolkit

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros