IEEE

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources

Abstract: Transfer learning is useful in increasing the generalization ability of a model, for dealing with variations among different subjects in the brain-computer interface (BCI). Nevertheless, ...
IEEE

Hybrid-Pursuit Strategies in Multiple Pursuer-Evader Games Using Reinforcement Learning

Abstract: This paper presents a comprehensive learning strategy for the collaborative pursuit of evaders by multiple pursuers in environments with dynamic obstacles. Utilizing a variational ...