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researcher

Maxim Likhachev

5 papers here

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.AI2
ORCID 0000-0002-9539-2398

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedNon-Blocking Batch A* (Technical Report)

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2023

A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations

Hanlan Yang, Shohin Mukherjee, Maxim Likhachev

Anytime search algorithms are useful for planning problems where a solution is desired under a limited time budget. Anytime algorithms first aim to provide a feasible solution quic…

cs.AI2022★ 1 cited

Non-Blocking Batch A* (Technical Report)

Rishi Veerapaneni, Maxim Likhachev

Heuristic search has traditionally relied on hand-crafted or programmatically derived heuristics. Neural networks (NNs) are newer powerful tools which can be used to learn complex…

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