Sondre Glimsdal
Sondre Glimsdal
Verified email at uia.no
Title
Cited by
Cited by
Year
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
OC Granmo, S Glimsdal
Applied Intelligence, 1-10, 2012
272012
The convolutional Tsetlin machine
OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge
arXiv preprint arXiv:1905.09688, 2019
222019
Ant colony optimisation for planning safe escape routes
M Goodwin, OC Granmo, J Radianti, P Sarshar, S Glimsdal
International Conference on Industrial, Engineering and Other Applications …, 2013
202013
A spatio-temporal probabilistic model of hazard and crowd dynamics in disasters for evacuation planning
OC Granmo, J Radianti, M Goodwin, J Dugdale, P Sarshar, S Glimsdal, ...
International Conference on Industrial, Engineering and Other Applications …, 2013
72013
Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation.
S Glimsdal, OC Granmo
MAICS, 43-50, 2013
72013
Increasing the inference and learning speed of Tsetlin machines with clause indexing
SR Gorji, OC Granmo, S Glimsdal, J Edwards, M Goodwin
International Conference on Industrial, Engineering and Other Applications …, 2020
32020
A two-armed bandit based scheme for accelerated decentralized learning
OC Granmo, S Glimsdal
International Conference on Industrial, Engineering and Other Applications …, 2011
32011
Thompson sampling guided stochastic searching on the line for adversarial learning
S Glimsdal, OC Granmo
IFIP International Conference on Artificial Intelligence Applications and …, 2015
22015
AIs for Dominion Using Monte-Carlo Tree Search
R Tollisen, JV Jansen, M Goodwin, S Glimsdal
International Conference on Industrial, Engineering and Other Applications …, 2015
22015
AIs for Dominion Using Monte-Carlo Tree Search
S Glimsdal
Current Approaches in Applied Artificial Intelligence: 28th International …, 2015
22015
A novel bayesian network based scheme for finding the optimal solution to stochastic online equi-partitioning problems
S Glimsdal, OC Granmo
2014 13th International Conference on Machine Learning and Applications, 594-599, 2014
22014
Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems
S Glimsdal, OC Granmo
Journal of Machine Learning Research, 2019
12019
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem
S Glimsdal, OC Granmo
Applied Intelligence 48 (10), 3735-3747, 2018
12018
Thompson sampling guided stochastic searching on the line for non-stationary adversarial learning
S Glimsdal, OC Granmo
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
12015
Towards Thompson Sampling for Complex Bayesian Reasoning
S Glimsdal
Wittusen & Jensen, 2020
2020
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms
J Sharma, BV Matheussen, S Glimsdal, OC Granmo
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
2019
Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation
S Glimsdal, OC Granmo
International Conference on Industrial, Engineering and Other Applications …, 2019
2019
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem
S Glimsdal, OC Granmo
arXiv preprint arXiv:1707.03098, 2017
2017
Efficient gaussian process based optimistic knapsack sampling with applications to stochastic resource allocation
S Glimsdal
Universitetet i Agder/University of Agder, 2013
2013
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Articles 1–19