Výsledky vyhledávání - "Pieper, Michael P."

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Nonlocal Differential Operators with Integrable, Nonsymmetric Kernels: Part I--Operator Theoretic Properties

Recent decades have provided a host of examples and applications motivating the study of nonlocal differential operators. We discuss a class of such operators acting on bounded domains, focusing on those with integrable kernels having compact support

Externí odkaz: http://arxiv.org/abs/2408.15448

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The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach

Autor: Serban, Iulian Vlad, Sankar, Chinnadhurai, Pieper, Michael, Pineau, Joelle, Bengio, Yoshua

Deep reinforcement learning has recently shown many impressive successes. However, one major obstacle towards applying such methods to real-world problems is their lack of data-efficiency. To this end, we propose the Bottleneck Simulator: a model-bas

Externí odkaz: http://arxiv.org/abs/1807.04723

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A Deep Reinforcement Learning Chatbot (Short Version)

Autor: Serban, Iulian V., Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeswar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R., Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua

We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through bot

Externí odkaz: http://arxiv.org/abs/1801.06700

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