most citedOPAC: Opportunistic Actor-Critic

2 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.IT2026

Quaternary Preparata codes are quasi-perfect covering codes in the Hamming metric

Tamal Maharaj

The quaternary Preparata codes of Hammons, Kumar, Calderbank, Sloane and Solé are -linear codes of length with codewords. They are usually studied…

cs.DS2026

The Facility Advantage in the One-Round Discrete Voronoi Game on a Line

Tamal Maharaj

In the one-round discrete Voronoi game a multiset of voters on a line is given; player P places facilities, player Q then places , and each voter is won by the ne…

cs.CL2026

Viveka-Insight: a cross-lingual concept graph and citation-grounded retrieval resource over the complete works of Swami Vivekananda in English and Bengali

Tamal Maharaj

Classical philosophical corpora pose three compounding challenges for language resources: they exist in several languages without parallel alignment, their vocabulary is remote fro…

cs.DS2026

Memoization Without Keys: Compact, Out-of-Core Tables for Functions of Sorted Arguments

Tamal Maharaj

Memoizing an expensive function of a sorted score vector is a data-structure problem before it is a numerical one: at a billion gridpoints, a hash map or a search tree spends most…

cs.CL2026

A Word-Level Digital Reader of the Prasthanatrayi with Sankara's Bhasya: Corpus, Method, and an Open, Offline Reading Aid for the Advaita Vedanta Canon

Tamal Maharaj

The Prasthanatrayi -- the ten principal Upanisads, the Brahmasutra, and the Bhagavadgita, with Sankara's commentaries (bhasya) -- is the foundational corpus of Advaita Vedanta. Con…

cs.CV2026

The Multipath Blind Spot: -Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations

Sohag Roy, Rajesh Misra, Swami Shastravidyananda +1

Monocular depth foundations predict domain-general relative depth but lack absolute scale; a handful of sparse metric anchors from a range sensor can calibrate them to metric depth…

cs.LG2020★ 2 cited

OPAC: Opportunistic Actor-Critic

Srinjoy Roy, Saptam Bakshi, Tamal Maharaj

Actor-critic methods, a type of model-free reinforcement learning (RL), have achieved state-of-the-art performances in many real-world domains in continuous control. Despite their…