Djordje Grbic

Publikation

Publikationer pr. år 2019 2020 2021 2023 2023

• 6 Konferencebidrag i proceedings
• 3 Konferenceartikel
• 1 Tidsskriftartikel

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2023

  CastNet: a systems-level sequence evolution simulator

  Rivera-Rivera, C. J. & Grbic, D., 12 jun. 2023, I: BMC Bioinformatics. 8 s., 247.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

  Åben adgang

  Fil

  • System Level 100%
  • Regulatory Interactions 100%
  • Gene Regulatory Network 100%
  • Sequence Evolution 100%
  • Regulatory Network Evolution 100%

• 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 kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  Fil

  • Puzzle Game 100%
  • Large Language Model 100%
  • Large Language Models 66%
  • Educational Game 50%
  • Genetic Algorithm 50%

• 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 kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Deep Reinforcement Learning Model 100%
  • Deep Reinforcement Learning 100%
  • Reinforcement Learning 100%
  • Scalable Algorithms 33%
  • Liner Shipping Company 33%
• 2021

  EvoCraft: A New Challenge for Open-Endedness

  Grbic, D., Berg Palm, R., Najarro, E., Glanois, C. & Risi, S., 1 apr. 2021, I: Applications of Evolutionary Computation. 1, 15 s.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  Fil

  • Open-mindedness 100%
  • Minecraft 100%
  • Open Source 100%
  • Grand Challenge 100%
  • Mechanical Component 100%

• Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

  Sudhakaran, S., Grbic, D., Li, S., Katona, A., Najarro, E., Glanois, C. & Risi, S., 19 jul. 2021, I: Artificial Life Conference Proceedings . 2021, 9 s.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  Fil

  • 3D Artifacts 100%
  • Neural Cellular Automata 100%
  • Cellular Automata 100%
  • Neural Network 100%
  • Single-pixel 20%

• Safer Reinforcement Learning through Transferable Instinct Networks

  Grbic, D. & Risi, S., 19 jul. 2021, I: Artificial Life Conference Proceedings . 2021, 10 s.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  Fil

  • Instinct 100%
  • Safe Reinforcement Learning 100%
  • Reinforcement Learning 100%
  • Safety-critical 33%
  • Multi-task 33%
• 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 kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  Fil

  • Game Agent 100%
  • Hypernetwork 100%
  • Neural Network 100%
  • Game Playing 100%
  • Deep Reinforcement Learning 100%

• 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 kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Fil

  • Reinforcement Learning 100%
  • No-go Zones 100%
  • Trained Network 66%
  • Evolutionary Training 50%
  • Hazardous Levels 50%

• 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.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Fil

  • Reinforcement Learning 100%
  • Instinct 100%
  • Hazard Zone 100%
  • Safe Reinforcement Learning 100%
  • New Targets 100%
• 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 kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  Fil

  • Reinforcement Learning 100%
  • Continuous-time Reinforcement Learning 100%
  • Execution Time 40%
  • Deep Reinforcement Learning (deep RL) 33%
  • Reinforcement Learning Approach 33%