wh5321's Stars
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
autowarefoundation/autoware
Autoware - the world's leading open-source software project for autonomous driving
deeplearning-ai/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
zhm-real/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
karlkurzer/path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
eBay/bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
dalmia/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
HKUST-Aerial-Robotics/EPSILON
eleurent/rl-agents
Implementations of Reinforcement Learning and Planning algorithms
VincentWong3/automatic-driving-decision-and-planning-for-matlab
pemami4911/POMDPy
POMDPs in Python.
omron-sinicx/neural-astar
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
HKUST-Aerial-Robotics/spatiotemporal_semantic_corridor
Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".
AdaCompNUS/summit
The SUMMIT simulator
HKUST-Aerial-Robotics/eudm_planner
Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".
ChenBohan/Robotics-Cooperative-Path-Planning-03-Hybrid-A-Star-Trajectory-Planning
Hybrid A Star Trajectory Planning in multi-vehicle cooperative planning in narrow free space.
paulgovan/BayesianNetwork
Bayesian Network Modeling and Analysis
liang456/Stanford-Probabilistic-Graphical-Models-Coursera
GeorgePik/POMCP
Implementation of Partially Observable Monte Carlo Planning Algorithm
AdaCompNUS/hyp-despot
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
AdaCompNUS/context-pomdp
RDLLab/oppt
On-line POMDP Planning Toolkit
rdl-algorithm/tapir
Public repository of TAPIR
2wavetech/Probabilistic-Graphical-Model
This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford University on Coursera
michaelczhou/EPSILON
AdaCompNUS/magic
Macro-Action Generator-Critic (MAGIC) - Learning Macro-actions for online POMDP planning
AdaCompNUS/gamma
GAMMA: A General Agent Motion Prediction Model for Autonomous Driving
Jjschwartz/POMCP-for-beginners
An implementation of the POMCP algorithm in python in the hopes of learning something new.