Search Results for author: Stefan Klikovits

Found 2 papers, 1 papers with code

Dynamic Shielding for Reinforcement Learning in Black-Box Environments

no code implementations • 27 Jul 2022 • Masaki Waga, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, Ichiro Hasuo

The dynamic shielding technique constructs an approximate system model in parallel with RL using a variant of the RPNI algorithm and suppresses undesired explorations due to the shield constructed from the learned model.

reinforcement-learning Reinforcement Learning (RL)

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KNN-Averaging for Noisy Multi-objective Optimisation

1 code implementation • 30 Aug 2021 • Stefan Klikovits, Paolo Arcaini

Multi-objective optimisation is a popular approach for finding solutions to complex problems with large search spaces that reliably yields good optimisation results.

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