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researcher

Wendelin Boehmer

2 papers hereh-index 5271 citations8 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedPrivileged Information Dropout in Reinforcement Learning

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

Vitaly Kurin, Maximilian Igl, Tim Rocktäschel +2

Multitask Reinforcement Learning is a promising way to obtain models with better performance, generalisation, data efficiency, and robustness. Most existing work is limited to comp…

cs.LG2020★ 7 cited

Privileged Information Dropout in Reinforcement Learning

Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal Behbahani +2

Using privileged information during training can improve the sample efficiency and performance of machine learning systems. This paradigm has been applied to reinforcement learning…

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