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researcher

Aakash Maroti

2 papers hereh-index 117 citations2 works total

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

author position
  • sole author1
  • middle author1

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

fields
  • cs.AI1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedRBED: Reward Based Epsilon Decay

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

collaborators

2 papers

cs.RO2025

Advances on Affordable Hardware Platforms for Human Demonstration Acquisition in Agricultural Applications

Alberto San-Miguel-Tello, Gennaro Scarati, Alejandro Hernández +3

This paper presents advances on the Universal Manipulation Interface (UMI), a low-cost hand-held gripper for robot Learning from Demonstration (LfD), for complex in-the-wild scenar…

cs.AI2019★ 5 cited

RBED: Reward Based Epsilon Decay

Aakash Maroti

ε-greedy is a policy used to balance exploration and exploitation in many reinforcement learning setting. In cases where the agent uses some on-policy algorithm to lear…

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