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researcher

Abhishek Naik

2 papers hereh-index 5101 citations11 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cs.AI2

identity via Semantic Scholar / OpenAlex

most citedDiscounted Reinforcement Learning Is Not an Optimization Problem

27 citations · 27 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2021

Planning with Expectation Models for Control

Katya Kudashkina, Yi Wan, Abhishek Naik +1

In model-based reinforcement learning (MBRL), Wan et al. (2019) showed conditions under which the environment model could produce the expectation of the next feature vector rather…

cs.AI2019★ 27 cited

Discounted Reinforcement Learning Is Not an Optimization Problem

Abhishek Naik, Roshan Shariff, Niko Yasui +2

Discounted reinforcement learning is fundamentally incompatible with function approximation for control in continuing tasks. It is not an optimization problem in its usual formulat…

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