Publications
Export 67 results:
Author [ Title] Type Year Filters: Author is Capobianco, Roberto [Clear All Filters]
A Proposal for Semantic Map Representation and Evaluation,
, Volume {False}, Number {False}, p.1-6, (2015)
Prototype-based Interpretable Graph Neural Networks,
, IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, Volume {False}, Number {False}, p.1-11, (2022)
Q-CP: Learning Action Values for Cooperative Planning,
, Volume {False}, Number {False}, p.6469-6475, (2018)
RoCKIn@Home: domestic robots challenge,
, Volume {False}, Number {False}, p.25-46, (2017)
RoCKIn@Home: domestic robots challenge,
, Volume {False}, Number {False}, p.25-46, (2017)
RoCKIn@Home: Domestic Robots Challenge,
, RoCKIn - Benchmarking Through Robot Competitions, Rijeka, (2017)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots,
, Volume {False}, Number {False}, p.1-6, (2020)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots,
, Volume {False}, Number {False}, p.1-6, (2020)
S-AVE Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots,
, Volume {False}, Number {False}, p.1-6, (2020)
STAM: A framework for spatio-temporal affordance maps,
, Volume {9991}, Number {False}, p.271-280, (2016)
State of the Art of Visual Analytics for eXplainable Deep Learning,
, COMPUTER GRAPHICS FORUM, Volume {False}, Number {False}, p.False-False, (2023)
Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes,
, Volume {False}, Number {False}, p.False-False, (2023)
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies,
, Volume {9776}, Number {False}, p.256-267, (2017)
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies,
, Volume {9776}, Number {False}, p.256-267, (2017)
Using Spatio-Temporal Affordances to Represent Robot Action Semantics,
, Volume {False}, Number {False}, p.–––-, (2016)
Visual reward machines,
, Volume {False}, Number {False}, p.False-False, (2023)