4 papers
Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge Distillation
Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-Bringas
Visual environments are a demanding setting for quantum reinforcement learning (QRL): high-dimensional observations, unstable RL optimisation, and constrained variational quantum c…
Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-Bringas
Parameterised quantum circuit (PQC) based Quantum Reinforcement Learning (QRL) has emerged as a promising paradigm at the intersection of quantum computing and reinforcement learni…
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras, Javier Del Ser, Aitzol Olivares-Rad +2
Robustness is a fundamental aspect for developing safe and trustworthy models, particularly when they are deployed in the open world. In this work we analyze the inherent capabilit…
Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities
Alfredo Cuzzocrea, Giovanni Pilato, Pablo Garcia Bringas
The study illustrates a first step towards an ongoing work aimed at developing a dataset of dialogues potentially useful for customer service conversation management between humans…