Onderzoeksoutput

Onderzoeksoutput per jaar 2018 2019 2020 2021 2022 2024

• 235 Citaties
• 6 h-index
• 12 Conference paper
• 3 Article
• 2 Unpublished paper
• 1 Unpublished abstract
• 3 Meer
  • 1 Poster
  • 1 Digital or Visual Products
  • 1 PhD Thesis

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2024

  Controlling large scale multi-agent environments with model-based reinforcement learning

  Bargiacchi, E., 2024, Crazy Copy Center Productions. 150 blz.

  Onderzoeksoutput: PhD Thesis

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Warehouses 28%
  • Traffic control 27%
  • Farms 24%
  • Learning algorithms 20%
  118 Downloads (Pure)

• Interactively Learning the User’s Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits

  Reymond, M., Bargiacchi, E., Roijers, D. M. & Nowe, A., 6 mei 2024, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). Alechina, N., Dignum, V., Dastani, M. & Sichman, J. S. (redactie). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 1611-1620 10 blz.

  Onderzoeksoutput: Conference paper

  Open Access
• 2023

  A Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track

  Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., mei 2023, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 2023-May. blz. 1988-1990 3 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Onderzoeksoutput: Conference paper

  Open Access

  • Reinforcement learning 100%
  • Decision making 72%
  • Planning 63%
  1 Citaat (Scopus)
• 2022

  A Practical Guide to Multi-Objective Reinforcement Learning and Planning

  Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., 13 apr 2022, In: Autonomous Agents and Multi-Agent Systems. 36, 1, 59 blz., 26.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Decision making 72%
  • Planning 63%
  167 Citaten (Scopus)

  436 Downloads (Pure)

• Multi-agent RMax for Multi-Agent Multi-Armed Bandits

  Bargiacchi, E., Avalos, R., Verstraeten, T., Libin, P., Nowe, A. & Roijers, D. M., 2022, In: Proc. of the Adaptive and Learning Agents Workshop. https://ala2022.github.io/, blz. 1-6 6 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  • Tempering 100%
  • Learning algorithms 73%

• Pareto Conditioned Networks

  Reymond, M., Bargiacchi, E. & Nowe, A., 9 mei 2022, The 21st International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, blz. 1110-1118 9 blz.

  Onderzoeksoutput: Conference paper

  Bestand

  • Reinforcement learning 100%
  • Multiobjective optimization 93%
  • Learning algorithms 82%
  • Neural networks 60%
  9 Citaten (Scopus)

  48 Downloads (Pure)
• 2021

  Cooperative Prioritized Sweeping

  Bargiacchi, E., Verstraeten, T. & Roijers, D. M., 2021, Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. IFAAMAS, blz. 160-168 9 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 1).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Markov processes 100%
  • Learning algorithms 78%
  9 Citaten (Scopus)

  202 Downloads (Pure)

• Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models

  Roijers, D. M., Zintgraf, L. M., Libin, P., Reymond, M., Bargiacchi, E. & Nowe, A., 2021, ECML-PKDD 2020: Proceedings of the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (redactie). Springer, 16 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Sampling 70%
  5 Citaten (Scopus)

  257 Downloads (Pure)

• Scalable Optimization for Wind Farm Control using Coordination Graphs

  Verstraeten, T., Daems, P-J., Bargiacchi, E., Roijers, D. M., Libin, P. & Helsen, J., 3 mei 2021, Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, blz. 1362-1370 9 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Farms 100%
  • Turbines 40%
  • Physics 17%
  • Heuristic methods 11%
  • Multi agent systems 9%
  6 Citaten (Scopus)

  131 Downloads (Pure)

• Wind Farm Control Using Factored Bandits: A Hybrid Approach to Active Power Control

  Verstraeten, T., Daems, P-J., Bargiacchi, E., Roijers, D. M., Libin, P. & Helsen, J., 25 mei 2021.

  Onderzoeksoutput: Unpublished abstract

  Open Access

  Bestand
  71 Downloads (Pure)
• 2020

  AI-toolbox: A C++ library for reinforcement learning and planning (with Python Bindings)

  Bargiacchi, E., Roijers, D. M. & Nowé, A., 1 mei 2020, In: Journal of Machine Learning Research. 21, 102, blz. 1-12 12 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Python 97%
  • C++ 88%
  • Observability 73%
  • Libraries 72%
  • Planning 68%
  11 Citaten (Scopus)

  280 Downloads (Pure)

• AI-Toolbox: A Framework for Fundamental Reinforcement Learning

  Bargiacchi, E., Roijers, D. M. & Nowe, A., 2020, Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). CEUR Workshop Proceedings, blz. 359-360 2 blz. (Belgian/Netherlands Artificial Intelligence Conference).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand
  37 Downloads (Pure)

• Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

  Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. & Nowe, A., 21 apr 2020, In: Scientific Reports - Nature. 10, 1, 14 blz., 6728.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Farms 100%
  • Benchmarking 47%
  • Poisson Distribution 32%
  • Emotions 17%
  • Learning 16%
  14 Citaten (Scopus)

  116 Downloads (Pure)

• Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures

  Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. M. & Nowe, A., 19 nov 2020, Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). Benelux Association for Artificial Intelligence (BNVKI-AIABN), blz. 394-395 2 blz. (Belgian/Netherlands Artificial Intelligence Conference).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand
  32 Downloads (Pure)

• Thompson Sampling for Factored Multi-Agent Bandits

  Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 31 mei 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. An, B., El Fallah Seghrouchni, A. & Sukthankar, G. (redactie). IFAAMAS, blz. 2029-2031 3 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Sampling 100%
  • Gems 39%
  • Warehouses 26%
  • Factorization 23%
  • Farms 23%
  3 Citaten (Scopus)

  53 Downloads (Pure)

• Thompson Sampling for Loosely-Coupled Multi-Agent Systems: An Application to Wind Farm Control

  Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 9 mei 2020. 9 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

  Bestand
  54 Downloads (Pure)
• 2019

  A Virtual Maze Game to Explain Reinforcement Learning

  Coppens, Y., Bargiacchi, E. & Nowe, A., 8 nov 2019, Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) . Beuls, K., Bogaerts, B., Bontempi, G., Geurts, P., Harley, N., Lebichot, B., Lenaerts, T., Louppe, G. & Van Eecke, P. (redactie). CEUR Workshop Proceedings, Vol. 2491. 2 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Virtual reality 87%
  58 Downloads (Pure)

• Reinforcement Learning 101 with a Virtual Reality Game

  Coppens, Y. & Bargiacchi, E., 4 apr 2019

  Onderzoeksoutput: Digital or Visual Products

  Open Access

  • Reinforcement learning 100%
  • Virtual reality 87%
  • Autonomous agents 61%
  • Display devices 38%

• Reinforcement Learning 101 with a Virtual Reality Game

  Coppens, Y., Bargiacchi, E. & Nowe, A., 11 aug 2019. 4 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Virtual reality 87%
  • Autonomous agents 61%
  • Display devices 38%
  499 Downloads (Pure)
• 2018

  Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems

  Bargiacchi, E., Verstraeten, T., Roijers, D., Nowe, A. & van Hasselt, H., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (redactie). Vol. 2. blz. 810-818 9 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Decision problem 100%
  • Learning 89%
  • Multi-armed Bandit 69%
  • Confidence 52%
  • Reinforcement learning 49%
  10 Citaten (Scopus)

  21 Downloads (Pure)

• Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems

  Bargiacchi, E., Verstraeten, T., Roijers, D., Nowe, A. & van Hasselt, H., 2018.

  Onderzoeksoutput: Poster

  Open Access

  Bestand
  13 Downloads (Pure)