Publications

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Author Title [ Type(Asc)] Year
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Journal Article
Reinforcement learning for optimization of COVID-19 mitigation policies, Kompella, V., Capobianco R., Jong S., Browne J., Fox S., Meyers L., Wurman P., and Stone P. , Volume {2884}, Number {False}, p.False-False, (2020)
Reinforcement learning for optimization of COVID-19 mitigation policies, Kompella, V., Capobianco R., Jong S., Browne J., Fox S., Meyers L., Wurman P., and Stone P. , Volume {2884}, Number {False}, p.False-False, (2020)
Planetary Environment Prediction Using Generative Modeling, Singh, S., Daftry S., Capobianco R., and Vincelli F. , Volume {False}, Number {False}, p.False-False, (2022)
Planetary Environment Prediction Using Generative Modeling, Singh, S., Daftry S., Capobianco R., and Vincelli F. , Volume {False}, Number {False}, p.False-False, (2022)
Outracing champion Gran Turismo drivers with deep reinforcement learning, Wurman, P. R., Barrett S., Kawamoto K., MacGlashan J., Subramanian K., Walsh T. J., Capobianco R., Devlic A., Eckert F., Fuchs F., et al. , NATURE, Volume {602}, Number {7896}, p.223-228, (2022)
Multiagent epidemiologic inference through realtime contact tracing, Sharon, G., Ault J., Stone P., Kompella V., and Capobianco R. , Volume {2}, Number {False}, p.1170-1178, (2021)
Multiagent epidemiologic inference through realtime contact tracing, Sharon, G., Ault J., Stone P., Kompella V., and Capobianco R. , Volume {2}, Number {False}, p.1170-1178, (2021)
LOOP: Iterative learning for optimistic planning on robots, Riccio, F., Capobianco R., and Nardi D. , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {136}, Number {False}, p.103693-False, (2021)
Learning transferable policies for autonomous planetary landing via deep reinforcement learning, Ciabatti, G., Daftry S., and Capobianco R. , Volume {False}, Number {False}, p.False-False, (2021)
Efficient Long-term Mapping in Dynamic Environments, Lázaro, M. T., Capobianco R., and Grisetti G. , Volume {False}, Number {False}, p.153-160, (2018)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Detection accuracy for evaluating compositional explanations of units, Makinwa, S. M., La Rosa B., and Capobianco R. , Volume {13196 LNAI}, Number {False}, p.550-563, (2022)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task, Ocana, J. M. Catacor, Riccio F., Capobianco R., and Nardi D. , Volume {11531}, Number {False}, p.44-57, (2019)
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies, Capobianco, R., Kompella V., Ault J., Sharon G., Jong S., Fox S., Meyers L., Wurman P. R., and Stone P. , THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, Volume {71}, Number {False}, p.953-992, (2021)
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies, Capobianco, R., Kompella V., Ault J., Sharon G., Jong S., Fox S., Meyers L., Wurman P. R., and Stone P. , THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, Volume {71}, Number {False}, p.953-992, (2021)