105 citations · 160 across the 5 of their papers we have counts for
5 papers
Body Schema Acquisition through Active Learning
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using Recu…
Class Teaching for Inverse Reinforcement Learners
Manuel Lopes, Francisco Melo
In this paper we propose the first machine teaching algorithm for multiple inverse reinforcement learners. Specifically, our contributions are: (i) we formally introduce the proble…
Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction
Manuel Lopes, Luis Montesano
In this survey we present different approaches that allow an intelligent agent to explore autonomous its environment to gather information and learn multiple tasks. Different commu…
Multi-Armed Bandits for Intelligent Tutoring Systems
Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer +1
We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by students, taking into account t…
Multi-class Generalized Binary Search for Active Inverse Reinforcement Learning
Francisco Melo, Manuel Lopes
This paper addresses the problem of learning a task from demonstration. We adopt the framework of inverse reinforcement learning, where tasks are represented in the form of a rewar…