no code implementations • 19 Jun 2023 • Utkarsh Prakash, Aryan Chollera, Kushagra Khatwani, Prabuchandran K. J., Tejas Bodas
Such methods assume Gaussian process (GP) models for both, the function and its gradient, and use them to construct an acquisition function that identifies the next query point.
1 code implementation • 21 Mar 2023 • Kunal Jain, Prabuchandran K. J., Tejas Bodas
Bayesian Optimization (BO) is used to find the global optima of black box functions.
no code implementations • 19 Oct 2021 • Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar
Learning optimal behavior from existing data is one of the most important problems in Reinforcement Learning (RL).
no code implementations • 11 Feb 2019 • Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
In many of the practical applications, the analytical form of the density is not known and only the samples from the distribution are available.
no code implementations • 27 Aug 2017 • Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
We consider the problem of tracking an intruder using a network of wireless sensors.