383 Open source projects that are alternatives of or similar to Deep Rl Tensorflow

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Python library for Reinforcement Learning.

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Highly Modular and Scalable Reinforcement Learning

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

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

🤖 Implements of Reinforcement Learning algorithms.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Minimal and Clean Reinforcement Learning Examples

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

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

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

No description or website provided.

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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

Deep Reinforcement Learning with pytorch & visdom

Repo for the Deep Reinforcement Learning Nanodegree program

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

RLgraph: Modular computation graphs for deep reinforcement learning

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Reinforcement learning with tensorflow 2 keras

A PyTorch library for building deep reinforcement learning agents.

Repository for codes of 'Deep Reinforcement Learning'

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

playing idealized trading games with deep reinforcement learning

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Modularized Implementation of Deep RL Algorithms in PyTorch

Ape-X DQN & DDPG with pytorch & tensorboard

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

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Autonomous Drifting using Reinforcement Learning

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

☔ Deep RL agents with PyTorch☔

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

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

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

강화학습에 대한 기본적인 알고리즘 구현

Imitation learning algorithms

Reinforcement learning tutorials

Deep Reinforcement Learning Notes

Artificial intelligence for the Snake game.

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

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

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.