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cs.LG2019
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games
Leonard Adolphs, Thomas Hofmann
While Reinforcement Learning (RL) approaches lead to significant achievements in a variety of areas in recent history, natural language tasks remained mostly unaffected, due to the…
cs.LG2019
Adaptive norms for deep learning with regularized Newton methods
Jonas Kohler, Leonard Adolphs, Aurelien Lucchi
We investigate the use of regularized Newton methods with adaptive norms for optimizing neural networks. This approach can be seen as a second-order counterpart of adaptive gradien…