1145 Open source projects that are alternatives of or similar to DDPG

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

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No description or website provided.

Deep Reinforcement Learning for Robotic Grasping from Octrees

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)

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Python library for Reinforcement Learning.

Teach a Quadcopter How to Fly!

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

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Modularized Implementation of Deep RL Algorithms in PyTorch

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

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

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

🤖 Implements of Reinforcement Learning algorithms.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Gazebo Models for different types of cars

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

4号機（KIT-C4）用リポジトリ

ROS packages for Turtlebot3

Universal grid map library for mobile robotic mapping

Using RGB Image as Visual Input for Mapless Robot Navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

ROS Mesh Navigation Bundle

使用深度强化学习解决视觉跟踪和视觉导航问题

No description or website provided.

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

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Simple Reinforcement Learning Framework

Repo for the Deep Reinforcement Learning Nanodegree program

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

A PyTorch library for building deep reinforcement learning agents.

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Open-source simulator for autonomous driving research.

Gibson Environments: Real-World Perception for Embodied Agents

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

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

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

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

☔ Deep RL agents with PyTorch☔

Learning Continuous Control in Deep Reinforcement Learning

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit

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

Simulations for TurtleBot3

ROS nodes wrapping core MRPT functionality: localization, autonomous navigation, rawlogs, etc.

An Event-Driven, Asynchronous, Behavioral State Machine Library for real-time ROS (Robotic Operating System) applications written in C++

This project was completed on May 15, 2015. The goal of the project was to implement software system for frontier based exploration and navigation for turtlebot-like robots.

Ape-X DQN & DDPG with pytorch & tensorboard

A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Be Driven 🚘

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

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

Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS

Live Trading. Please star.

Lightweight deep RL Libraray for continuous control.