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A Biologically-Inspired Computational Model of Time Perception
We conclude that the agent is able to perceive time similarly to animals when it comes to their intrinsic mechanisms of interpreting time and performing time-aware actions.
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning
A classical learning setting typically concerns an agent/student who collects data, or observations, from a system in order to estimate a certain property of interest.
Cooperative System Identification via Correctional Learning
We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-agent (student), but cannot directly transfer its knowledge to the student.
Teaching robots to perceive time -- A reinforcement learning approach (Extended version)
In this paper, we study how to replicate neural mechanisms involved in time perception, allowing robots to take a step towards temporal cognition.
