Blar i Fakultet for teknologi, kunst og design (TKD) på emneord "Reinforcement learning"
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Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
(Neural Computation;Vol. 33, No. 2, Journal article; Peer reviewed, 2021-02-01)Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ... -
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
(Neural Computation;Volume 32, No. 5, Journal article; Peer reviewed, 2020-04-14)Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the formation of equivalence ... -
Investigate AI-based learning for cloud services for adaptive autonomous behavior
(ACIT;2021, Master thesis, 2021)Cloud computing provides more reliable web services due to its flexibility for accessing resources on-demand and self-managed services. However, cloud computing faces new challenges when managing a massive amount of ... -
A reinforcement learning based game theoretic approach for distributed power control in downlink NOMA
(IEEE International Symposium on Network Computing and Applications; 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), Chapter; Peer reviewed, 2021-01-05)Optimal power allocation problem in wireless networks is known to be usually a complex optimization problem. In this paper, we present a simple and energy-efficient distributed power control in downlink Non-Orthogonal ...