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A Deep Reinforcement Learning Approach to The Ancient Indian Game - Chowka Bhara

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posted on 12.10.2021, 14:34 authored by Annapurna P Patil, SANJAY RAGHAVENDRASANJAY RAGHAVENDRA, Shruthi Srinarasi, Reshma Ram

Reinforcement Learning (RL) is the study of how Artificial Intelligence (AI) agents learn to make their own decisions in an environment to maximize the cumulative reward received. Although there has been notable progress in the application of RL for games, the category of ancient Indian games has remained almost untouched. Chowka Bhara is one such ancient Indian board game. This work aims at developing a Q-Learning-based RL Chowka Bhara player whose strategies and methodologies are obtained from three Strategic Players viz. Fast Player, Random Player, and Balanced Player. It is observed through the experimental results that the Q-Learning Player outperforms all three Strategic Players.

Funding

M S Ramaiah Institute of Technology Alumni Association

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Email Address of Submitting Author

sanjay14112000@gmail.com

Submitting Author's Institution

Ramaiah Institute Of Technology

Submitting Author's Country

India

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