floringogianu

categorical-dqn

A working implementation of the Categorical DQN (Distributional RL).

atari-agents

Code and links for over 25,000 trained Atari agents

paper-notebooks

A collection of notebooks aiding the understanding of machine-learning papers.

snrl

Code-base for the paper Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.

rlog

Preconfigured python logging with some extra bells and whistles for RL

rl-module-labs

schrodinger

An investigation into uncertainty estimates for deep neural networks.

gym-classic

A collection of so far classic deterministic MDPs for testing RL algorithms.

voy

A CLI for following arxiv authors.

neural-episodic-control

A work in progress implementation of the Neural Episodic Control

floringogianu.github.io

archive

Where projects come to die

Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

ee227c.github.io

EE227C (Spring 2018) Course page

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.

liftoff

LTSpiceCircuits

Tube Amplifier Circuits

rl-logger

schema-games

General Game Playing with Schema Networks