This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...