To move its own pieces, a motorized mechanism beneath the board guides an electromagnet along the underside. When activated, ...
Combining supervised pretraining on master-level games with AlphaZero-style self-play reinforcement learning, using a SE-ResNet architecture with spatial attention and Win/Draw/Loss value estimation.
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A comprehensive Python-based training pipeline for fine-tuning chess AI models with Azure AI Foundry. This project processes chess game databases, converts them to coordinate notation format, and fine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results