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Vikash Kumar

21 papers hereh-index 3814.3k citations76 works total

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

author position
  • first author1
  • middle author12
  • last author8

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • cs.LG9
  • cs.AI1
same name
  • Vikash Kumar — 4 papers
  • Vikash Kumar — 2 papers, h 31
  • Vikash Kumar — 2 papers
  • Vikash Kumar — 1 paper
  • Vikash Kumar — 1 paper
  • Vikash Kumar — 1 paper

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

activity
20172022
most citedDeep Dynamics Models for Learning Dexterous Manipulation

68 citations · 177 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.RO2022★ 1 cited

Real World Offline Reinforcement Learning with Realistic Data Source

Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa +3

Offline reinforcement learning (ORL) holds great promise for robot learning due to its ability to learn from arbitrary pre-generated experience. However, current ORL benchmarks are…

cs.RO2022★ 8 cited

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?

Yuchen Cui, Scott Niekum, Abhinav Gupta +2

Task specification is at the core of programming autonomous robots. A low-effort modality for task specification is critical for engagement of non-expert end-users and ultimate ado…

cs.RO2022★ 2 cited

Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects

Yujie Lu, Jianren Wang, Vikash Kumar

Intricate behaviors an organism can exhibit is predicated on its ability to sense and effectively interpret complexities of its surroundings. Relevant information is often distribu…

cs.LG2022★ 1 cited

Policy Architectures for Compositional Generalization in Control

Allan Zhou, Vikash Kumar, Chelsea Finn +1

Many tasks in control, robotics, and planning can be specified using desired goal configurations for various entities in the environment. Learning goal-conditioned policies is a na…

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