Publications, Preprints & Technical Reports

Deep Multi-Agent RL for Complex Swarm Behavior

Published in Extended Abstract Submitted for EEML Application. The preliminary results outlined are very much work-in-progress and originated during a lab rotation from January to March of 2019 at Henning Sprekeler’s Lab at the TU Berlin., 2019

Extended Abstract of MARL framework for Gradient-Based Learning of Swarm Dynamics.

Recommended citation: Lange, Robert Tjarko. (2019). "Multi-Agent RL for Complex Swarm Dynamics." Do not cite. Preliminary work.

Action Grammars: A Grammar Induction-Based Method for Learning Temporally-Extended Actions

Published in Best (Applied) MAC/MRes/Specialism Project, Sponsored by Winton Capital at Imperial College London, 2018

Imperial College London Masters Thesis which provides a Context-Free Grammar based framework for learning temporal abstractions in Hierarchical Reinforcement Learning.

Recommended citation: Lange, Robert Tjarko. (2018). "Action Grammars: A Grammar Induction-Based Method for Learning Temporally-Extended Actions." Imperial College London - DoC - Best (Applied) MAC/MRes/Specialism Project 2018.

RandNLA for Generalized Linear Models with Big Datasets

Published in UPF/UAB Public Online Repository, 2017

Barcelona GSE Masters Thesis which generalizes RandNLA to GLMs.

Recommended citation: Lange, Robert Tjarko. (2017). "Randomized Numerical Linear Algebra for Generalized Linear Models with Big Datasets." UPF/UAB Public Online Repository.