434 Open source projects that are alternatives of or similar to Pytorch Ddpg

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

☔ Deep RL agents with PyTorch☔

Learning Continuous Control in Deep Reinforcement Learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

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

Distributed A3C

Deep reinforcement learning with 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.

The code for the SRDQN algorithm to train an agent for the beer game problem

Hierarchical-DQN in pytorch (not actively maintained)

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

My notes on reinforcement learning papers

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.

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

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

[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.

Jiminy: a fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning

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

With underflow, create trafic light clusters that interact together to regulate circulation

Introduction to Deep Reinforcement Learning

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

PyTorch implementation of "Asynchronous advantage actor-critic"

Examples

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Line follower robot simulator environment for Open AI Gym.

Develop ultimate AI Pokémon trainer

RAD: Reinforcement Learning with Augmented Data

OpenAI's Gym binding for Julia

Reinforcement Learning at UCLA IPAM RIPS 2018

Pytorch implementation of distributed deep reinforcement learning

🐵 An AI chess-board-game framework(by many programming languages) implementations.

Developing a deep neural network to play a snake game

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).

Deep Reinforcement Learning algorithms implemented in PyTorch

Open-source library for a reinforcement learning research.

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.

Research repo of RL

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

No description or website provided.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

This projects aims to use reinforcement learning algorithms to play the game 2048.

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

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.

Reinforcement Learning Demos

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

Reinforcement learning for an air traffic control task. OpenAI gym based simulation.

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

NEAT for Reinforcement Learning on the OpenAI Gym

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'

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Run OpenAI Gym on a Server

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.