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researcher

Arunkumar Byravan

3 papers here

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

author position
  • first author1
  • middle author2

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

fields
  • cs.RO2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedImagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models

6 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

cs.RO2019★ 2 cited

Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB

Felix Leeb, Arunkumar Byravan, Dieter Fox

In this work, we bridge the gap between recent pose estimation and tracking work to develop a powerful method for robots to track objects in their surroundings. Motion-Nets use a s…

cs.RO2019★ 6 cited

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models

Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki +6

Humans are masters at quickly learning many complex tasks, relying on an approximate understanding of the dynamics of their environments. In much the same way, we would like our le…

cs.AI2019

Prospection: Interpretable Plans From Language By Predicting the Future

Chris Paxton, Yonatan Bisk, Jesse Thomason +2

High-level human instructions often correspond to behaviors with multiple implicit steps. In order for robots to be useful in the real world, they must be able to to reason over bo…

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