Repository for master thesis "Learning to Plan in Large Domains with Deep Neural Networks"

Collection of stand alone implementation

Estimating the Remaining Useful Lifetime (RUL) with LSTM Autoencoders

Homework for STAT 210A - Berkeley

Robotic AI bare code. This is designed as shared submodule of other projects. Try other repos that expose clearer interfaces (rai-python, robotics-course) first.

Slides and code for my talk at MeetingC++ 2017

Material of my 'active learning' talk at data2day

Bayesian Program Learning model for one-shot learning

Structure learning for sparse graphs with latent variables

Reading lists and notes for my qualifying exam

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