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Sammie Katt
Sammie Katt
Bestätigte E-Mail-Adresse bei aalto.fi
Titel
Zitiert von
Zitiert von
Jahr
Learning in POMDPs with Monte Carlo tree search
S Katt, FA Oliehoek, C Amato
International Conference on Machine Learning, 1819-1827, 2017
892017
Online Planning for Target Object Search in Clutter under Partial Observability
Y Xiao, S Katt, A ten Pas, S Chen, C Amato
2019 International Conference on Robotics and Automation (ICRA), 8241-8247, 2019
802019
Bayesian Reinforcement Learning in Factored POMDPs
S Katt, FA Oliehoek, C Amato
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
482019
Anytime versus real-time heuristic search for on-line planning
B Cserna, M Bogochow, S Chambers, M Tremblay, S Katt, W Ruml
Proceedings of the International Symposium on Combinatorial Search 7 (1 …, 2016
72016
Removing dynamic objects for static scene reconstruction using light fields
P Kaveti, S Katt, H Singh
arXiv preprint arXiv:2003.11076, 2020
32020
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs
S Katt, H Nguyen, FA Oliehoek, C Amato
arXiv preprint arXiv:2202.08884, 2022
22022
Efficient exploitation of factored domains in bayesian reinforcement learning for pomdps
S Katt, FA Oliehoek, C Amato
Adaptive Learning Agents, 2018
22018
Introducing movements and animations to virtual victims in USARSim
S Katt
Bachelor's thesis, Universiteit van Amsterdam, 2012
12012
Conditional motion predictions
E Wolff, S Katt, B Cserna
US Patent 11,814,075, 2023
2023
On-Robot Bayesian Reinforcement Learning for POMDPs
H Nguyen, S Katt, Y Xiao, C Amato
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
Conditional motion predictions
E Wolff, S Katt, B Cserna
US Patent 11,731,653, 2023
2023
Bayesian Partially Observable Reinforcement Learning
S Katt
Northeastern University, 2023
2023
Bayesian RL in factored POMDPs
S Katt, F Oliehoek, C Amato
CEUR Workshop Proceedings 2491, 2019
2019
MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environments
S Katt, F Oliehoek, C Amato
NeurIPS Workshop on Reinforcement Learning under Partial Observability, 2018
2018
Efficient Bayesian Learning in Factored Partially Observable Environments
S Katt
2017
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