41 citations · 189 across the 29 of their papers we have counts for
3 papers · 1 filter
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Tien Pham, Angelo Cangelosi
Current approaches in Explainable Deep Reinforcement Learning have limitations in which the attention mask has a displacement with the objects in visual input. This work addresses…
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi
Studies suggest that within the hierarchical architecture, the topological higher level possibly represents a conscious category of the current sensory events with slower changing…
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Riccardo Polvara, Massimiliano Patacchiola, Sanjay Sharma +4
Landing an unmanned aerial vehicle (UAV) on a ground marker is an open problem despite the effort of the research community. Previous attempts mostly focused on the analysis of han…