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researcher

Liam Paull

4 papers here

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO2
ORCID 0000-0003-2492-6660

identity via Semantic Scholar / OpenAlex

most citedActive Domain Randomization

33 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2020★ 1 cited

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents

Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi +10

As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challen…

cs.LG2020★ 8 cited

Curriculum in Gradient-Based Meta-Reinforcement Learning

Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy +2

Gradient-based meta-learners such as Model-Agnostic Meta-Learning (MAML) have shown strong few-shot performance in supervised and reinforcement learning settings. However, specific…

cs.LG2019★ 33 cited

Active Domain Randomization

Bhairav Mehta, Manfred Diaz, Florian Golemo +2

Domain randomization is a popular technique for improving domain transfer, often used in a zero-shot setting when the target domain is unknown or cannot easily be used for training…

cs.RO2019

Deep Active Localization

Sai Krishna, Keehong Seo, Dhaivat Bhatt +3

Active localization is the problem of generating robot actions that allow it to maximally disambiguate its pose within a reference map. Traditional approaches to this use an inform…

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