14 citations · 33 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
Rui Silva, Miguel Vasco, Francisco S. Melo +2
In this work we explore the use of latent representations obtained from multiple input sensory modalities (such as images or sounds) in allowing an agent to learn and exploit polic…
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
João Ribeiro, Francisco S. Melo, João Dias
In this paper we investigate two hypothesis regarding the use of deep reinforcement learning in multiple tasks. The first hypothesis is driven by the question of whether a deep rei…
Learning multimodal representations for sample-efficient recognition of human actions
Miguel Vasco, Francisco S. Melo, David Martins de Matos +2
Humans interact in rich and diverse ways with the environment. However, the representation of such behavior by artificial agents is often limited. In this work we present \textit{m…
Empathic Robot for Group Learning: A Field Study
Patricia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo +2
This work explores a group learning scenario with an autonomous empathic robot. We address two research questions: (1) Can an autonomous robot designed with empathic competencies f…