Consensus Function from an $L_p^q-$norm Regularization Term for its Use as Adaptive Activation Functions in Neural Networks

no code implementations • 30 Jun 2022 • Juan Heredia-Juesas, José Á. Martínez-Lorenzo

However, the definition of the activation functions is, in general, determined in the design process and not modified during the training, meaning that their behavior is unrelated to the training data set.

Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones

no code implementations • 17 Mar 2021 • Roi Yehoshua, Juan Heredia-Juesas, Yushu Wu, Christopher Amato, Jose Martinez-Lorenzo

Targets search and detection encompasses a variety of decision problems such as coverage, surveillance, search, observing and pursuit-evasion along with others.

reinforcement-learning Reinforcement Learning (RL)