wenshuowang Goto Github PK

autonomous-vehicle-lane-change-experiment-data

autonomous vehicle lane change data

awesome-irl

A curated list of awesome Inverse Reinforcement Learning resources.

bayes_gmm

Bayesian Gaussian mixture models in Python.

belief-propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

beta_adaptive_phri

Control, planning, and learning system for physical human-robot interaction (pHRI) with a JACO2 7DOF robotic arm.

evo-pawness

Self project Evo Pawness (Temporary Name)

ilqr

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

inverse-pomdp

inverse POMDP for foraging

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

minimal

Minimal is a Jekyll theme for GitHub Pages

python_uct

Demo of UCT (MCTS) in Python / Numpy

pythonrobotics

Python sample codes for robotics algorithms.

resources

PyMC3 educational resources

rob501

Mathematics for Robotics

robust-control-from-vision

Implementation of methods for robust control from visual observations

talks

Talks from Neil Lawrence

tutorial

wenshuowang.github.io

zhangrao_jcgs_code

Code for JCGS paper "Efficient parameter sampling for Markov jump processes"