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M. Igl

15 papers hereh-index 172k citations34 works total

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

author position
  • first author4
  • middle author10

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.RO4
  • cs.CV2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedVariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

65 citations · 124 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.LG2018

Deep Variational Reinforcement Learning for POMDPs

Maximilian Igl, Luisa Zintgraf, Tuan Anh Le +2

Many real-world sequential decision making problems are partially observable by nature, and the environment model is typically unknown. Consequently, there is great need for reinfo…

stat.ML2018

Tighter Variational Bounds are Not Necessarily Better

Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le +4

We provide theoretical and empirical evidence that using tighter evidence lower bounds (ELBOs) can be detrimental to the process of learning an inference network by reducing the si…

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