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airsim_imitation-reinforcement-learning

This is the code for my published paper: Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving

airsimtensorflow

A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance

aladdinpersson-machine-learning-collection

autonomous-car-chase

system capable of autonomously chasing another vehicle. Tested in CARLA and with RC cars.

autoware.ai

Open-source software for self-driving vehicles

awesome-imitation-learning

A curated list of awesome imitation learning resources and publications

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

brain-tokyo-workshop

🧠🗼

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

carla-ppo

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.

carla-rl

Reinforcement Learning codebase for self-driving car in Carla

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

deep-learning-from-scratch

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

deep-reinforcement-learning-book

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

dftpav

A lightweight differential flatness-based trajectory planner for car-like robots

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

drlpytorch

Pytorch for Deep Reinforcement Learning

fep_active_inference_papers

A repository for major/influential FEP and active inference papers.

gdrl

Grokking Deep Reinforcement Learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

highwayenv

A minimalist environment for decision-making in autonomous driving

human-level-control-through-deep-reinforcement-learning

Deep Q Networks

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

imitation-learning

Repository to store conditional imitation learning based AI that runs on CARLA.

keras-ncp

learn-carla

Learn how to use CARLA with basic APIs

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377