475 Open source projects that are alternatives of or similar to Drl

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.

No description or website provided.

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

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

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

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

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

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

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

🤖 Implements of Reinforcement Learning algorithms.

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

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

playing idealized trading games with deep reinforcement learning

🔥🌟《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!

TensorFlow implementation of Deep Reinforcement Learning papers

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

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

Minimal and Clean Reinforcement Learning Examples

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

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

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

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)

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!

[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.

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

Deep Reinforcement Learning with pytorch & visdom

Highly Modular and Scalable Reinforcement Learning

A PyTorch library for building deep reinforcement learning agents.

Modularized Implementation of Deep RL Algorithms in PyTorch

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

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

Python library for Reinforcement Learning.

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

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

Ape-X DQN & DDPG with pytorch & tensorboard

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

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

☔ Deep RL agents with PyTorch☔

Autonomous Drifting using Reinforcement Learning

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.

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

RLgraph: Modular computation graphs for deep reinforcement learning

Repo for the Deep Reinforcement Learning Nanodegree program

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

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

Reinforcement learning with tensorflow 2 keras

Pytorch Implementation of MuZero

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

A high-performance Atari A3C agent in 180 lines of PyTorch

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

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Teach a Quadcopter How to Fly!

Deep Reinforcement Learning (DRL) agents applied to medical images