E-LIB Suche - Ergebnisse für: Bargiacchi, Eugenio

1

A practical guide to multi-objective reinforcement learning..:

Hayes, Conor F. ; Rădulescu, Roxana ; Bargiacchi, Eugenio...
Autonomous Agents and Multi-Agent Systems. 36 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

2

Interactive Multi-objective Reinforcement Learning in Multi..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Roijers, Diederik M. ; Zintgraf, Luisa M. ; Libin, Pieter... - p. 463-478 , 2021

Link: https://doi.org/10.1007/..

3

Cooperative Prioritized Sweeping:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Bargiacchi, Eugenio ; Verstraeten, Timothy ; Roijers, Diederik M. - p. 160-168 , 2021

Link: https://dl.acm.org/doi/1..

4

Scalable Optimization for Wind Farm Control using Coordinat..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Verstraeten, Timothy ; Daems, Pieter-Jan ; Bargiacchi, Eugenio... - p. 1362-1370 , 2021

Link: https://dl.acm.org/doi/1..

5

Multi-Agent Thompson Sampling for Bandit Applications with ..:

Verstraeten, Timothy ; Bargiacchi, Eugenio ; Libin, Pieter J. K....
Scientific Reports. 10 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

6

Thompson Sampling for Factored Multi-Agent Bandits:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,

Verstraeten, Timothy ; Bargiacchi, Eugenio ; Libin, Pieter J.K... - p. 2029-2031 , 2020

Link: https://dl.acm.org/doi/1..

7

A brief guide to multi-objective reinforcement learning and..:

Hayes, Conor ; Bargiacchi, Eugenio ; Källström, Johan...
22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, 29 May to 2 June 2023, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2023-May, p. 1988-1990. , 2023

Link: http://researchonline.fe..

8

A practical guide to multi-objective reinforcement learning..:

Hayes, Conor ; Rădulescu, Roxana ; Bargiacchi, Eugenio...
Autonomous Agents and Multi-Agent Systems Vol. 36, no. 1 (2022), p.. , 2022

Link: http://researchonline.fe..

9

A practical guide to multi-objective reinforcement learning..:

Hayes, Conor F ; Rădulescu, Roxana ; Bargiacchi, Eugenio...
Autonomous Agents and Multi-Agent Systems, 1387-2532, 2022, 36:1,. , 2022

Link: http://urn.kb.se/resolve..

10

Pareto Conditioned Networks:

Reymond, Mathieu ; Bargiacchi, Eugenio ; Nowé, Ann
http://arxiv.org/abs/2204.05036. , 2022

Link: http://arxiv.org/abs/220..

11

Scalable Optimization for Wind Farm Control using Coordinat..:

Verstraeten, Timothy ; Daems, Pieter-Jan ; Bargiacchi, Eugenio...
http://arxiv.org/abs/2101.07844. , 2021

Link: http://arxiv.org/abs/210..

12

Scalable Optimization for Wind Farm Control using Coordinat..:

Verstraeten, Timothy ; Daems, Pieter-Jan ; Bargiacchi, Eugenio...
http://hdl.handle.net/1942/34338. , 2021

Link: http://hdl.handle.net/19..

13

Scalable Optimization for Wind Farm Control using Coordinat..:

Verstraeten, Timothy ; Daems, Pieter-Jan ; Bargiacchi, Eugenio...
doi:10.5281/zenodo.4446700. , 2021

Link: https://zenodo.org/recor..

14

A Practical Guide to Multi-Objective Reinforcement Learning..:

Hayes, Conor F ; Rădulescu, Roxana ; Bargiacchi, Eugenio...
http://arxiv.org/abs/2103.09568. , 2021

Link: http://arxiv.org/abs/210..

15

Multi-Agent Thompson Sampling for Bandit Applications with ..:

Verstraeten, Timothy ; Bargiacchi, Eugenio ; Libin, Pieter...
uri/info:doi/10.1038/s41598-020-62939-3. , 2020

Link: http://hdl.handle.net/20..