62 citations · 105 across the 6 of their papers we have counts for
6 papers
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo D'Eramo, Davide Tateo, Andrea Bonarini +2
We study the benefit of sharing representations among tasks to enable the effective use of deep neural networks in Multi-Task Reinforcement Learning. We leverage the assumption tha…
Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
Davide Tateo, Davide Antonio Cucci, Matteo Matteucci +1
Efficient object level representation for monocular semantic simultaneous localization and mapping (SLAM) still lacks a widely accepted solution. In this paper, we propose the use…
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
Mirza Ramicic, Andrea Bonarini
Faced with an ever-increasing complexity of their domains of application, artificial learning agents are now able to scale up in their ability to process an overwhelming amount of…
MushroomRL: Simplifying Reinforcement Learning Research
Carlo D'Eramo, Davide Tateo, Andrea Bonarini +2
MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) experiments. Compared to other available libra…
Augmented Replay Memory in Reinforcement Learning With Continuous Control
Mirza Ramicic, Andrea Bonarini
Online reinforcement learning agents are currently able to process an increasing amount of data by converting it into a higher order value functions. This expansion of the informat…
Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts
Ahmad Yaser Alhaddad, John-John Cabibihan, Ahmad Hayek +1
There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the…