412 Open source projects that are alternatives of or similar to rl_pytorch

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

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

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Repo for the Deep Reinforcement Learning Nanodegree program

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Autonomous Drifting using Reinforcement Learning

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

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

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

Live Trading. Please star.

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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

Combining deep learning and reinforcement learning.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Scalable, event-driven, deep-learning-friendly backtesting library

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

Reinforcement Learning for Super Mario Bros using A3C on GPU

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Deep Reinforcement Learning for Robotic Grasping from Octrees

Deep Developmental Reinforcement Learning

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

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

A3C LSTM Atari with Pytorch plus A3G design

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

Python library for Reinforcement Learning.

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

Cloud-native Financial Reinforcement Learning

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Deep reinforcement learning with tensorflow2

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

No description or website provided.

OpenAI Gym wrapper for ViZDoom enviroments

Hierarchical-DQN in pytorch (not actively maintained)

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

Reinforcement Learning Demos

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

NEAT for Reinforcement Learning on the OpenAI Gym

Random Network Distillation(RND) algo in Pytorch

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

source code for 'Improving automatic source code summarization via deep reinforcement learning'