Track driving simulator in MATLAB.

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

Multi-processing implementation of "Reinforcement Learning with Unsupervised Auxiliary Tasks"(UNREAL) with tensorflow

🎲 IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

This is an implementation of a Horde of general-value functions that can make predictions from an online data source. The data is generated using Dynamixel servos. There are also implementations of…

Intra Option Learning, SMDP Framework

First implementation of on-policy general value functions using TD(lambda) and an off-policy general value function using GTD(lambda)

AI Society Homepage

A Flappy Bird Clone using python-pygame

Reading lists and notes for my qualifying exam

Reinforcement learning with unsupervised auxiliary tasks

Cool Inverse Reinforcement Learning Papers

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Linear Reinforcement Learning with Options (Source code for Ph.D. thesis).

Structure learning for sparse graphs with latent variables

Reference material for ACM-ICPC

comma.ai for the people to experiment with

Recurrent Highway Networks - Author implementation for Tensorflow and Torch

Python library to compute knowledge graph embeddings

Value Iteration Networks

A List of Awesome Swift Playgrounds!

The Design and Implementation of Probabilistic Programming Languages

Virtual Reality Peripheral Network - Official GitHub Repository

talk materials from MLSS2016, Arequipa Peru, Aug 8-9

Library for fast text representation and classification.

A machine learning library in Swift.