4 citations · 6 across the 4 of their papers we have counts for
4 papers
Digitization of Raster Logs: A Deep Learning Approach
M Quamer Nasim, Narendra Patwardhan, Tannistha Maiti +1
Raster well-log images are digital representations of well-logs data generated over the years. Raster digital well logs represent bitmaps of the log image in a rectangular array of…
Proximal Reliability Optimization for Reinforcement Learning
Narendra Patwardhan, Zequn Wang
Despite the numerous advances, reinforcement learning remains away from widespread acceptance for autonomous controller design as compared to classical methods due to lack of abili…
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction
Narendra Patwardhan, Zequn Wang
Model-free reinforcement learning based methods such as Proximal Policy Optimization, or Q-learning typically require thousands of interactions with the environment to approximate…
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets
Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe
This work introduces a novel activation unit that can be efficiently employed in deep neural nets (DNNs) and performs significantly better than the traditional Rectified Linear Uni…