7 papers
MinDist is less than 7
Purushottam Saha, Diganta Mukherjee
The metric MinDist, introduced recently to quantify the distance of an arbitrary Rummy hand from a valid declaration, plays a central role in algorithmic hand evaluation and optima…
Quantitative Rule-Based Strategy modeling in Classic Indian Rummy: A Metric Optimization Approach
Purushottam Saha, Avirup Chakraborty, Sourish Sarkar +3
The 13-card variant of Classic Indian Rummy is a sequential game of incomplete information that requires probabilistic reasoning and combinatorial decision-making. This paper propo…
Analyzing Skill Element in Online Fantasy Cricket
Sarthak Sarkar, Supratim Das, Purushottam Saha +2
Online fantasy cricket has emerged as large-scale competitive systems in which participants construct virtual teams and compete based on real-world player performances. This massiv…
Adapting Skill Ratings to Luck-Based Hidden-Information Games
Avirup Chakraborty, Shirsa Maitra, Tathagata Banerjee +2
Rating systems play a crucial role in evaluating player skill across competitive environments. The Elo rating system, originally designed for deterministic and information-complete…
Empirical parameterization of the Elo Rating System
Shirsa Maitra, Tathagata Banerjee, Anushka De +2
This study aims to provide a data-driven approach for empirically tuning and validating rating systems, focusing on the Elo system. Well-known rating frameworks, such as Elo, Glick…
Causal Analysis of Health, Education, and Economic Well-Being in India -- Evidence from the Young Lives Survey
Anushka De, Diganta Mukherjee
This study investigates the dynamic and potentially causal relationships among childhood health, education, and long-term economic well-being in India using longitudinal data from…