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Supplementary scripts for Step-by-step active inference modelling tutorial
This is the code for my published paper: Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance
system capable of autonomously chasing another vehicle. Tested in CARLA and with RC cars.
Open-source software for self-driving vehicles
A curated list of awesome imitation learning resources and publications
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
🧠🗼
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
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.
Reinforcement Learning codebase for self-driving car in Carla
Causal Inference and Discovery in Python by Packt Publishing
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
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
Hands-on Deep Reinforcement Learning, published by Packt
A lightweight differential flatness-based trajectory planner for car-like robots
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.
Pytorch for Deep Reinforcement Learning
A repository for major/influential FEP and active inference papers.
Grokking Deep Reinforcement Learning
A toolkit for developing and comparing reinforcement learning algorithms.
A minimalist environment for decision-making in autonomous driving
Deep Q Networks
Clean PyTorch implementations of imitation and reward learning algorithms
Repository to store conditional imitation learning based AI that runs on CARLA.
Active Inference for Stochastic Control
Learn how to use CARLA with basic APIs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.