1 code implementation • 23 Oct 2023 • Ghadi Nehme, Tejas Y. Deo
To ensure the optimal performance of our reinforcement learning (RL) models in navigating complex traffic scenarios, we implemented a pre-processing step to reduce the state space.
no code implementations • 23 Oct 2023 • Ghadi Nehme, Ishan Sabane, Tejas Y. Deo
Subsequently, the trained model will serve as a source of prior data for the single-life RL algorithm.
no code implementations • 15 Dec 2021 • Tejas Y. Deo, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Apoorva N. Khairnar, Hrushikesh S. Khade
In this paper, a white-Box support vector machine (SVM) framework and its swarm-based optimization is presented for supervision of toothed milling cutter through characterization of real-time spindle vibrations.
no code implementations • 19 Nov 2021 • Tejas Y. Deo
This paper presents comparison of custom ensemble models with the models trained using existing libraries Like Xgboost, Scikit Learn, etc.