Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning

no code implementations • 27 Sep 2020 • Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma

In this paper, we use deep reinforcement learning where we use function approximation of the Q-function via a deep neural network to obtain a power control policy that matches the optimal policy for a small network.

reinforcement-learning Reinforcement Learning (RL) +2

Deep Reinforcement Learning Based Power control for Wireless Multicast Systems

no code implementations • 27 Sep 2019 • Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma

However for this system, obtaining optimal power control is intractable because of a very large state space.

reinforcement-learning Reinforcement Learning (RL)

Resource Allocation in a MAC with and without security via Game Theoretic Learning

no code implementations • 5 Jul 2016 • Shahid Mehraj Shah, Krishna Chaitanya A, Vinod Sharma

Next we consider the case where the users can cooperate with each other so as to disagree with the policy which will be unfair to individual user.

Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis

no code implementations • 28 Jun 2016 • Sahil Sharma, Vinod Sharma, Atul Sharma

In order to calculate efficiency, results of the prediction by candidate methods were compared with the actual medical results of the subject. The various metrics used for performance evaluation are predictive accuracy, precision, sensitivity and specificity.

BIG-bench Machine Learning General Classification +2