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researcher

Michael Pieper

3 papers hereh-index 3290 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
same name
  • Michael Pieper — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Deep Reinforcement Learning Chatbot

200 citations · 218 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2018★ 4 cited

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

Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper +2

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-eff…

cs.CL2018★ 14 cited

A Deep Reinforcement Learning Chatbot (Short Version)

Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15

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 capa…

cs.CL2017★ 200 cited

A Deep Reinforcement Learning Chatbot

Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15

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 capa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.