2 citations · 3 across the 5 of their papers we have counts for
8 papers
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
CNL2ASP: converting controlled natural language sentences into ASP
Simone Caruso, Carmine Dodaro, Marco Maratea +2
Answer Set Programming (ASP) is a popular declarative programming language for solving hard combinatorial problems. Although ASP has gained widespread acceptance in academic and in…
RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms
Sara Kaszuba, Sandeep Reddy Sabbella, Vincenzo Suriani +2
Human-robot interaction requires a common understanding of the operational environment, which can be provided by a representation that blends geometric and symbolic knowledge: a se…
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Research on reinforcement learning has demonstrated promising results in manifold applications and domains. Still, efficiently learning effective robot behaviors is very difficult,…
Q-CP: Learning Action Values for Cooperative Planning
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Research on multi-robot systems has demonstrated promising results in manifold applications and domains. Still, efficiently learning an effective robot behaviors is very difficult,…
Learning Human-Robot Handovers Through -STAM: Policy Improvement With Spatio-Temporal Affordance Maps
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Human-robot handovers are characterized by high uncertainty and poor structure of the problem that make them difficult tasks. While machine learning methods have shown promising re…
STAM: A Framework for Spatio-Temporal Affordance Maps
Francesco Riccio, Roberto Capobianco, Marc Hanheide +1
Affordances have been introduced in literature as action opportunities that objects offer, and used in robotics to semantically represent their interconnection. However, when consi…
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies
Francesco Riccio, Roberto Capobianco, Daniele Nardi
RoboCup soccer competitions are considered among the most challenging multi-robot adversarial environments, due to their high dynamism and the partial observability of the environm…