2 citations · 3 across the 4 of their papers we have counts for
4 papers
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari +2
We introduce Random Latent Exploration (RLE), a simple yet effective exploration strategy in reinforcement learning (RL). On average, RLE outperforms noise-based methods, which per…
Norm-dependent convergence and stability of the inverse scattering series for diffuse and scalar waves
Srinath Mahankali, Yunan Yang
This work analyzes the forward and inverse scattering series for scalar waves based on the Helmholtz equation and the diffuse waves from the time-independent diffusion equation, wh…
Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable
Promit Ghosal, Srinath Mahankali, Yihang Sun
Recently, neural networks have demonstrated remarkable capabilities in mapping two arbitrary sets to two linearly separable sets. The prospect of achieving this with randomly initi…
The convexity of optimal transport-based waveform inversion for certain structured velocity models
Srinath Mahankali
Full--waveform inversion (FWI) is a method used to determine properties of the Earth from information on the surface. We use the squared Wasserstein distance (squared distanc…