@article {11573/1696769,
	title = {{Understanding Deep RL agent decisions: a novel interpretable approach with trainable prototypes}},
	volume = {{False}},
	number = {{False}},
	year = {2023},
	pages = {False-False},
	keywords = {explainable artificial intelligence}, Reinforcement Learning, {Interpretable deep learning},
	doi = {{False}},
	author = {Borzillo, Caterina and Ragno, Alessio and Capobianco, Roberto}
}
@article {11573/928050,
	title = {{Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies}},
	volume = {{9776}},
	number = {{False}},
	year = {2017},
	pages = {256-267},
	keywords = {Policy learning}, {multi-robot systems},
	doi = {{10.1007/978-3-319-68792-6\_21}},
	author = {Riccio, Francesco and Capobianco, Roberto and Nardi, Daniele}
}
@article {11573/928050,
	title = {{Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies}},
	volume = {{9776}},
	number = {{False}},
	year = {2017},
	pages = {256-267},
	keywords = {Policy learning}, {multi-robot systems},
	doi = {{10.1007/978-3-319-68792-6\_21}},
	author = {Riccio, Francesco and Capobianco, Roberto and Nardi, Daniele}
}
@article {11573/928305,
	title = {{Using Spatio-Temporal Affordances to Represent Robot Action Semantics}},
	volume = {{False}},
	number = {{False}},
	year = {2016},
	pages = {{\textendash}{\textendash}{\textendash}-},
	keywords = {Affordances, Spatial semantics}, {Reinforcement learning},
	doi = {{False}},
	author = {Riccio, Francesco and Capobianco, Roberto and Nardi, Daniele}
}
