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Ole-Christoffer Granmo

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The Dreaming Variational Autoencoder for Reinforcement Learning Environments

Oct 02, 2018
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

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Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

Sep 16, 2018
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen

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Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

Aug 15, 2018
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

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The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Apr 23, 2018
Ole-Christoffer Granmo

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FlashRL: A Reinforcement Learning Platform for Flash Games

Jan 26, 2018
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

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Towards a Deep Reinforcement Learning Approach for Tower Line Wars

Dec 17, 2017
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

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Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems

Aug 05, 2017
Sondre Glimsdal, Ole-Christoffer Granmo

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An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem

Jul 11, 2017
Sondre Glimsdal, Ole-Christoffer Granmo

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Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation

May 28, 2017
Ole-Christoffer Granmo

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