Digitization of Raster Logs: A Deep Learning Approach

no code implementations • 11 Oct 2022 • M Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Tarry Singh

Raster well-log images are digital representations of well-logs data generated over the years.

Image Segmentation Semantic Segmentation

Proximal Reliability Optimization for Reinforcement Learning

no code implementations • 3 Jun 2019 • 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 ability to effectively tackle the reality gap.

reinforcement-learning Reinforcement Learning (RL)

Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction

no code implementations • 15 May 2019 • Narendra Patwardhan, Zequn Wang

Model-based methods such as PILCO or BlackDrops, while data-efficient, provide solutions with limited robustness and complexity.

Management OpenAI Gym +3

ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets

no code implementations • 22 May 2018 • 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 Units (ReLU).