Search Results for author: Kushagra Rastogi

Found 2 papers, 0 papers with code

Is Q-Learning Provably Efficient? An Extended Analysis

no code implementations22 Sep 2020 Kushagra Rastogi, Jonathan Lee, Fabrice Harel-Canada, Aditya Joglekar

This work extends the analysis of the theoretical results presented within the paper Is Q-Learning Provably Efficient?

Q-Learning reinforcement-learning +1

Virtual Sensor Modelling using Neural Networks with Coefficient-based Adaptive Weights and Biases Search Algorithm for Diesel Engines

no code implementations22 Dec 2017 Kushagra Rastogi, Navreet Saini

With the explosion in the field of Big Data and introduction of more stringent emission norms every three to five years, automotive companies must not only continue to enhance the fuel economy ratings of their products, but also provide valued services to their customers such as delivering engine performance and health reports at regular intervals.

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