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Aakash Maroti

1 paper here

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author position
  • sole author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedRBED: Reward Based Epsilon Decay

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

collaborators

1 paper

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.