Name: Ulzhalgas Rakhman
Type: User
Company: RWTH Aachen University
Bio: Hi all,
Currently, I am working at RWTH Aachen University in Aachen, Germany. I am interested in robot learning algorithms for task and motion planning.
Location: Aachen
Blog: https://sites.google.com/view/ulzhalgasrakhman/cv
Ulzhalgas Rakhman's Projects
This is a team project from the CS592 class.
The Fast Downward domain-independent classical planning system
Generalized Task and Motion Planning
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
自己对一些GNN算法的拙劣复现 基于Tensorflow2.3
Google Research
Graph Coarsening with Neural Networks
SIADEX - An HTN planner with temporal, partial order planning
Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
:earth_americas: Embed maps with filterable locations in Jekyll
JSK planning packages
LatPlan : A domain-independent, image-based classical planner
Markdown Cheatsheet for Github Readme.md
NumPy - PyTorch - TensorFlow (+Keras)
Code for "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks" (AAAI 2021)
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
SHOP3 Git repository
Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
This is the code for task lanning designed in PDDL