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hgail

gail, infogail, hierarchical gail implementations

hierarchical-decision-making-for-autonomous-driving

Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

highway-env

An environment for autonomous driving decision-making

hyp-despot

HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty

learn_cuda

models

Models and examples built with TensorFlow

ngsim.jl

A Julia package for handling the Next Generation Simulation (NGSIM) traffic dataset

ngsim_env

An rllab environment for learning human driver models with imitation learning using NGSIM data

noi

note-on-deep-reinforcement-learning

课程笔记，David Silver，CS294 ...

notes-lsju-machine-learning

机器学习笔记

notes-machine-learning

My Notes on Machine Learning

oppt

On-line POMDP Planning Toolkit

planning-decisionmaking

pomdp-python

A POMDP solver written in Python

pomdps.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating discrete and continuous, fully and partially observable Markov decision processes.

pomdpy

POMDPs in Python.

py-pomdp

A small tool to parse a POMDP and load into python objects.

pypomdp

Python implementation of POMDP framework and PBVI & POMCP algorithms.

rl-agents

Implementations of Reinforcement Learning algorithms

rl-on-sumo

Demos of reinforcement learning on Simulation of Urban MObility

rl_carla

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

self-driving-car-nd

Udacity's Self-Driving Car Nanodegree project files and notes.

selfdrivingcars

Udacity Selfdriving cars course

setting-up-carla-reinforcement-learning

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

slam

An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.

sumo-changing-lane-agent

Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo

sumo_reinforcement_learning

Source code associated with final project for Machine Learning Course (CS 229) at Stanford University; Used reinforcement learning approach in a SUMO traffic simulation environment

tensorflow-and-deeplearning-tutorial

TensorFlow & Deep Learning Tutorial

traffic-rl

Experiments with reinforcement learning using Gym, keras-rl and SUMO