Towards the Automatic Synthesis of Interpretable Chess Tactics
A Krishnan, C Martens - Explainable Agency in Artificial …, 2022 - taylorfrancis.com
State-of-the-art reinforcement learning agents are capable of outperforming human experts
at games like chess, Go, and StarCraft II. These agents do not simply take advantage of their …
at games like chess, Go, and StarCraft II. These agents do not simply take advantage of their …
[PDF][PDF] Synthesizing Chess Tactics from Player Games
A Krishnan, C Martens - Proceedings of the Workshop on …, 2022 - abhijeetkrishnan.me
Competitive games admit a wide variety of player strategies and emergent, domain-specific
concepts that are not obvious from an examination of their rules. Expert agents trained on …
concepts that are not obvious from an examination of their rules. Expert agents trained on …
Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network
D Wieczerzak, P Czarnul - … Conference on Parallel Processing and Applied …, 2022 - Springer
The idea of training Artificial Neural Networks to evaluate chess positions has been widely
explored in the last ten years. In this paper we investigated dataset impact on chess position …
explored in the last ten years. In this paper we investigated dataset impact on chess position …
Using computing software to evaluate how physical conditions affect the chess players results in the world chess championship
Although for many years, chess has been related to sedentary people, and even, in some
cases, to people smoking in a room. In recent years, the world chess elite is full of very …
cases, to people smoking in a room. In recent years, the world chess elite is full of very …