4 papers
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…
Skill vs. Chance Quantification for Popular Card & Board Games
Tathagata Banerjee, Anushka De, Subhamoy Maitra +1
This paper presents a data-driven statistical framework to quantify the role of skill in games, addressing the long-standing question of whether success in a game is predominantly…
Skill Dominance Analysis of Two(Four) player, Three(Five) dice Variant of the Ludo Game
Tathagata Banerjee, Diganta Mukherjee
This paper examines two different variants of the Ludo game, involving multiple dice and a fixed number of total turns. Within each variant, multiple game lengths (total no. of tur…