CARA is a full-featured desktop application designed for analyzing and reviewing chess games. Unlike chess playing applications or puzzle solvers, CARA focuses exclusively on post-game analysis and ...
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: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
Abstract: A nonconvex-concave minimax quadratic problem is studied in this paper. An efficient alternating algorithm is proposed without any convexification procedures and constraint relaxations. By ...