899 Open source projects that are alternatives of or similar to drl_grasping

Autonomous Drifting using Reinforcement Learning

Introductory robotics curriculum

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

ROS Packages for PROBOT Anno.

Autonomous mobile robots (2WD, 4WD, Mecanum Drive)

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Deep Reinforcement Learning Algorithms Implementation in PyTorch

CUDA-accelerated Apriltag detection

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

Python library for Reinforcement Learning.

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

This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.

Awesome Webots

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Deep Developmental Reinforcement Learning

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

A3C LSTM Atari with Pytorch plus A3G design

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

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

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

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Teach a Quadcopter How to Fly!

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

Rapidly Exploring Random Tree (RRT) global path planning plugin for ROS Kinetic Kame

A set of messages specific to each sensor supported by AutonomouStuff.

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

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

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

Dockerfiles I use for development

Packages for the simulation of the Summit XL, Summit XL HL and Summit-X (including X-WAM) robots

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

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

The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.

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

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

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)

Gazebo Models for different types of cars

ROS机器人操作系统 学习（写于2020年夏）

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

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

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

Open-source simulator for autonomous driving research.

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

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

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Gibson Environments: Real-World Perception for Embodied Agents

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

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Combining deep learning and reinforcement learning.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Reinforcement Learning for Super Mario Bros using A3C on GPU

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

Cloud-native Financial Reinforcement Learning

ROS 2 port of `trac_ik`, an alternative Inverse Kinematics solver to the popular inverse Jacobian methods in KDL.

A docker environment with ROS, Gazebo, X11 and Tensorflow

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow