Gruppieren nach:
Jahr |
PersonAnzahl der Einträge: 7.
2025
Phan, Thomy ; Zhang, Benran ; Chan, Shao-Hung ; Koenig, Sven:
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 39
(2025)
Heft 22
.
- S. 23286-23294.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v39i22.34495
Phan, Thomy ; Chan, Shao-Hung ; Koenig, Sven:
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 39
(2025)
Heft 25
.
- S. 26651-26658.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v39i25.34867
2024
Phan, Thomy ; Huang, Taoan ; Dilkina, Bistra ; Koenig, Sven:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 38
(2024)
Heft 16
.
- S. 17514-17522.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v38i16.29701
2023
Hemmer, Patrick ; Thede, Lukas ; Vössing, Michael ; Jakubik, Johannes ; Kühl, Niklas:
Learning to Defer with Limited Expert Predictions.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 37
(2023)
Heft 5
.
- S. 6002-6011.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v37i5.25742
2021
Li, Luchen ; Faisal, A. Aldo:
Bayesian Distributional Policy Gradients.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 35
(2021)
Heft 10
.
- S. 8429-8437.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v35i10.17024
Phan, Thomy ; Belzner, Lenz ; Gabor, Thomas ; Sedlmeier, Andreas ; Ritz, Fabian ; Linnhoff-Popien, Claudia:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 35
(2021)
Heft 13
.
- S. 11308-11316.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v35i13.17348
2019
Phan, Thomy ; Belzner, Lenz ; Kiermeier, Marie ; Friedrich, Markus ; Schmid, Kyrill ; Linnhoff-Popien, Claudia:
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.
In: Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 33
(2019)
Heft 1
.
- S. 7941-7948.
ISSN 2159-5399
DOI: https://doi.org/10.1609/aaai.v33i01.33017941
URL für die Einbettung dieser Seite in externe WWW-Seiten:
https://eref.uni-bayreuth.de/cgi/exportview/journal/0d9636f1a3bfbf7d86508eddad3eb50f/XML/0d9636f1a3bfbf7d86508eddad3eb50f.xml