7 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition
Javad Heydari, Olimpiya Saha, Viswanath Ganapathy
Coverage path planning in a generic known environment is shown to be NP-hard. When the environment is unknown, it becomes more challenging as the robot is required to rely on its o…
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha +3
In recent times, advances in artificial intelligence (AI) and IoT have enabled seamless and viable maintenance of appliances in home and building environments. Several studies have…
Universum GANs: Improving GANs through contradictions
Sauptik Dhar, Javad Heydari, Samarth Tripathi +2
Limited availability of labeled-data makes any supervised learning problem challenging. Alternative learning settings like semi-supervised and universum learning alleviate the depe…