Search Results for author:
Found 5 papers, 3 papers with code
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
We study the benefit of sharing representations among tasks to enable the effective use of deep neural networks in Multi-Task Reinforcement Learning.
Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
In this paper, we propose the use of an efficient representation, based on structural points, for the geometry of objects to be used as landmarks in a monocular semantic SLAM system based on the pose-graph formulation.
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
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 information coming from their interaction with an environment.
MushroomRL: Simplifying Reinforcement Learning Research
MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) experiments.
Augmented Replay Memory in Reinforcement Learning With Continuous Control
Online reinforcement learning agents are currently able to process an increasing amount of data by converting it into a higher order value functions.
