Zeitschrift: Proceedings of the AAAI Conference on Artificial Intelligence

H

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

L

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

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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

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

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

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