Saba Q. Yahyaa

According to our database1, Saba Q. Yahyaa authored at least 14 papers between 2012 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2015
Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits.
Trans. Comput. Collect. Intell., 2015

Correlated Gaussian Multi-Objective Multi-Armed Bandit Across Arms Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit.
Proceedings of the ICAART 2015, 2015

Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Annealing linear scalarized based multi-objective multi-armed bandit algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Knowledge Gradient for Online Reinforcement Learning.
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Online Knowledge Gradient Exploration in an Unknown Environment.
Proceedings of the ICAART 2014, 2014

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms.
Proceedings of the ICAART 2014, 2014

Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Annealing-pareto multi-objective multi-armed bandit algorithm.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Knowledge Gradient Exploration in Online Least Squares Policy Iteration.
Proceedings of the ICAART 2013, 2013

Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs.
Proceedings of the ICAART 2013, 2013

2012
The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012


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