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Frederik Schubert

I'm a PhD student at the Institute for Information Processing at Leibniz University in Hannover, Germany. My research has recently been focused on Reinforcement Learning and Procedural Content Generation, but I am interested in building intelligent systems of any kind.

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Frederik Schubert's Projects

acme icon acme

A library of reinforcement learning components and agents

angular-basicauth icon angular-basicauth

AngularJs service for managing login/logout and basic authentication of API endpoints

angular-data-table icon angular-data-table

A feature-rich but lightweight ES6 AngularJS Data Table crafted for large data sets!

angular2-grid icon angular2-grid

A drag/drop/resize grid-based plugin directive for angular2

ara icon ara

Official Repository for our workshop paper "Towards Automatic Risk Adaptation in Distributional Reinforcement Learning"

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

brax icon brax

Massively parallel rigidbody physics simulation on accelerator hardware.

c-tran icon c-tran

General Multi-label Image Classification with Transformers

coax icon coax

Modular framework for Reinforcement Learning in python

cohere-toolkit icon cohere-toolkit

Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

cql icon cql

Code for conservative Q-learning

curl icon curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-q-snake icon deep-q-snake

Using deep reinforcement learning (deep Q-learning) to play Snake. Machine Learning course project, Politecnico di Milano, A.Y. 2015/2016.

deeprl-agents icon deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deepsplines icon deepsplines

Learning Activation Functions in Deep (Spline) Neural Networks

dqn-ale icon dqn-ale

DQN baseline conforming to the latest methodologies for the Arcade Learning Environment (ALE).

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