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Katja Hofmann

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Oct 16, 2019
Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer

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* Accepted at CoRL 2019

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Combining No-regret and Q-learning

Oct 07, 2019
Ian A. Kash, Michael Sullins, Katja Hofmann

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Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games

Jun 04, 2019
Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

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The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors

Apr 22, 2019
William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang

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* accepted at NeurIPS 2019, 28 pages

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The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

Jan 23, 2019
Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita

* Challenges in Machine Learning (NIPS Workshop), 2018
* 2 pages plus references

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Meta Reinforcement Learning with Latent Variable Gaussian Processes

Jul 07, 2018
Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

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* 11 pages, 7 figures

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Depth and nonlinearity induce implicit exploration for RL

May 29, 2018
Justas Dauparas, Ryota Tomioka, Katja Hofmann

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