73 citations · 89 across the 3 of their papers we have counts for
4 papers
Temporal Shift Reinforcement Learning
Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
The function approximators employed by traditional image-based Deep Reinforcement Learning (DRL) algorithms usually lack a temporal learning component and instead focus on learning…
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning
Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger +2
The significant components of any successful autonomous flight system are task completion and collision avoidance. Most deep learning algorithms successfully execute these aspects…
Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World
Prateek Khandelwal, Anuj Khandelwal, Snigdha Agarwal +3
The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. This resulted in the shutdown of all economic activity and accordingly…
Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas +1
Revenue management can enable airline corporations to maximize the revenue generated from each scheduled flight departing in their transportation network by means of finding the op…