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Hi there 👋

I focus on understanding how to make current Machine Learning models understand their surroundings more efficiently. I am currently working on perception through monocular cameras, deeplearning and computer vision. Apart from that, I am also interested in Hierarchical Reinforcement Learning, Autonomous Vehicles and lately in XR.

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Disclaimer: life is complex and personal projects as well. Not all code I write ends up here or being public. For more up to date information about my personal projects visit my personal website.

Mike W's Projects

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

gym icon gym

An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning

hrl icon hrl

Hierarchical Reinforcement Learning (batteries included)

liudezain.com icon liudezain.com

The repository where the new liudezain's web page will be developed

mvsnet icon mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

netflix-controller icon netflix-controller

Control your Netflix instance running in Chrome from any device attached to your LAN

rl-football icon rl-football

Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and Wolf-PHC algorithms

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