Peshala Jayasekara

Towards a Smart Opponent for Board Games: Learning beyond Simulations

2020

Reinforcement learning algorithms have been successfully trained for games like GO, Atari, and Chess in simulated environments. However, in cue sport-based games like Carrom, real world is unpredictable unlike in Chess and GO due to …