872 Open source projects that are alternatives of or similar to Keras Rl2

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

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

Deep Q Network implements by Tensorflow

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

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Ape-X DQN & DDPG with pytorch & tensorboard

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

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

A PyTorch library for building deep reinforcement learning agents.

TensorFlow implementation of Deep Reinforcement Learning papers

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

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

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

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

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

RLgraph: Modular computation graphs for deep reinforcement learning

Grokking Deep Reinforcement Learning

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)

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

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

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

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

🤖 Implements of Reinforcement Learning algorithms.

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

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

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🔥🌟《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!

Repository for codes of 'Deep Reinforcement Learning'

playing idealized trading games with deep reinforcement learning

Python library for Reinforcement Learning.

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

Minimal and Clean Reinforcement Learning Examples

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

☔ Deep RL agents with PyTorch☔

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

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.

[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.

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

Autonomous Drifting using Reinforcement Learning

Deep Reinforcement Learning with pytorch & visdom

Highly Modular and Scalable Reinforcement Learning

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

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

This repository contains all the popular competitive programming and DSA questions with solutions.

CSCI 599 deep learning and its applications final project

😖 😕 😃LeetCode问题解题思路。

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Data Structures with Go Language

A collection of containers & algorithms for the Crystal programming language

Demo applications showcasing DJL

ROS 2 enabled Machine Learning algorithms