Intet billede af Djordje Grbic
  • Emil Holms Kanal, 4F25, EHK

    2300 Copenhagen

    Danmark

  • Rued Langgaards Vej 7, 5A20/22

    2300 Copenhagen S

    Danmark

20182024

Publikationer pr. år

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Søgeresultater

  • 2023

    Procedurally generating rules to adapt difficulty for narrative puzzle games

    Volden, T., Grbic, D. & Burelli, P., 2023, Proceedings of the IEEE Conference on Game. IEEE, s. 1-4 4 s. (Proceedings of the 2023 IEEE conference on Games).

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning

    van Twiller, J., Grbic, D. & Jensen, R. M., 7 sep. 2023, ICCL 2023: Computational Logistics. Daduna, J. R., Liedtke, G., Shi, X. & Voß, S. (red.). Berlin: Springer, Bind 14239. s. 105-121 17 s. 6. (Lecture Notes in Computer Science, Bind 14239).

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • 2020

    Evolving HyperNetworks for Game-Playing Agents

    Carvelli, C., Grbic, D. & Risi, S., 8 jul. 2020, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 71-72 2 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • Safe Reinforcement Learning through Meta-learned Instincts

    Grbic, D. & Risi, S., 13 jul. 2020, ALIFE 2020: The 2020 Conference on Artificial Life. 32 udg. MIT Press, s. 183-291 8 s. (Artificial Life Conference Proceedings ).

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • Safer reinforcement learning through evolved instincts

    Grbic, D. & Risi, S., jul. 2020, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 77-78 2 s.

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  • 2019

    Towards Continual Reinforcement Learning through Evolutionary Meta-Learning

    Grbic, D. & Risi, S., 17 jul. 2019, Towards Continual Reinforcement Learning through Evolutionary Meta-Learning. 2019 udg. New York, NY, USA: Association for Computing Machinery, Bind Proceedings of the Genetic and Evolutionary Computation Conference Companion. s. 119-120 2 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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