960 Open source projects that are alternatives of or similar to Rl Collision Avoidance

ROS 2 enabled Machine Learning algorithms

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Using RGB Image as Visual Input for Mapless Robot Navigation

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

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

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

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Our NIPS 2017: Learning to Run source code

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

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

Reinforcement learning models in ViZDoom environment

Repo for the Deep Reinforcement Learning Nanodegree program

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

tensorflow deep RL for driving a rover around

RAD: Reinforcement Learning with Augmented Data

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

A PyTorch library for building deep reinforcement learning agents.

A curated list of awesome links and software libraries that are useful for robots.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Reinforcement learning tutorials

Implementing reinforcement-learning algorithms for pysc2 -environment

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

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

PyTorch C++ Reinforcement Learning

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

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

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

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

Gibson Environments: Real-World Perception for Embodied Agents

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Teach a Quadcopter How to Fly!

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Lecture and Reference Material

ROS Mesh Navigation Bundle

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

🤖🐑 It's a sheep, it's a dolly, it's a following robot. Dolly was born to be cloned.

Deep Neuroevolution

Dense 3D reconstruction from stereo (using LIBELAS)

Lightweight and Accurate Point Cloud Clustering

Deep Reinforcement Learning (DRL) agents applied to medical images

Clone of OpenAI's Spinning Up in PyTorch

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

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

Resources, papers, tutorials

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Master Thesis: Limit order placement with Reinforcement Learning

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Robotiq packages (http://wiki.ros.org/robotiq)

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