Blar i AURA på forfatter "Oommen, John"
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The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality
Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2016)The fundamental phenomenon that has been used to enhance the convergence speed of learning automata (LA) is that of incorporating the running maximum likelihood (ML) estimates of the action reward probabilities into the ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018) -
The Science and Art of Chaotic Pattern Recognition
Oommen, John; Qin, Ke; Calitoiu, Dragos (Chapter; Peer reviewed, 2016) -
User Grouping and Power Allocation in NOMA Systems : A Reinforcement Learning-Based Solution
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (Lecture Notes in Computer Science; vol. 12144, Chapter; Peer reviewed, 2020) -
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (Peer reviewed; Journal article, 2022)In this paper, we present a pioneering solution to the problem of user grouping and power allocation in non-orthogonal multiple access (NOMA) systems. The problem is highly pertinent because NOMA is a well-recognized ...