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Ezequiel Castellano
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2020 – today
- 2023
- [j1]Stefan Klikovits, Ezequiel Castellano, Ahmet Cetinkaya, Paolo Arcaini:
Frenetic-lib: An extensible framework for search-based generation of road structures for ADS testing. Sci. Comput. Program. 230: 102996 (2023) - [c9]Paolo Arcaini, Ezequiel Castellano, Fuyuki Ishikawa, Hirokazu Kawamoto, Kaoru Sawai, Eiichi Muramoto:
Incremental Search-Based Allocation of Autonomous Robots for Goods Delivery. CEC 2023: 1-10 - 2022
- [c8]Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, Ichiro Hasuo:
Dynamic Shielding for Reinforcement Learning in Black-Box Environments. ATVA 2022: 25-41 - [c7]Ezequiel Castellano, Xiao-Yi Zhang, Paolo Arcaini, Toru Takisaka, Fuyuki Ishikawa, Nozomu Ikehata, Kosuke Iwakura:
Explaining the Behaviour of Game Agents Using Differential Comparison. ASE 2022: 210:1-210:8 - [c6]Ezequiel Castellano, Stefan Klikovits, Ahmet Cetinkaya, Paolo Arcaini:
FreneticV at the SBST 2022 Tool Competition. SBST@ICSE 2022: 47-48 - [i2]Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, Ichiro Hasuo:
Dynamic Shielding for Reinforcement Learning in Black-Box Environments. CoRR abs/2207.13446 (2022) - [i1]Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini:
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report. CoRR abs/2209.05947 (2022) - 2021
- [c5]Ezequiel Castellano, Ahmet Cetinkaya, Paolo Arcaini:
Analysis of Road Representations in Search-Based Testing of Autonomous Driving Systems. QRS 2021: 167-178 - [c4]Ezequiel Castellano, Ahmet Cetinkaya, Cédric Ho Thanh, Stefan Klikovits, Xiaoyi Zhang, Paolo Arcaini:
Frenetic at the SBST 2021 Tool Competition. SBST@ICSE 2021: 36-37
2010 – 2019
- 2019
- [c3]Ezequiel Castellano, Víctor A. Braberman, Nicolás D'Ippolito, Sebastián Uchitel, Kenji Tei:
Minimising Makespan of Discrete Controllers: A Qualitative Approach. CDC 2019: 1068-1075 - [c2]Piergiuseppe Mallozzi, Ezequiel Castellano, Patrizio Pelliccione, Gerardo Schneider, Kenji Tei:
A runtime monitoring framework to enforce invariants on reinforcement learning agents exploring complex environments. RoSE@ICSE 2019: 5-12 - 2017
- [c1]Ezequiel Castellano:
Quality attributes and preferences on the synthesis of reactive systems. ICSE (Companion Volume) 2017: 463-464
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