35 citations · 89 across the 43 of their papers we have counts for
3 papers · 1 filter
Resource Constrained Deep Reinforcement Learning
Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar
In urban environments, supply resources have to be constantly matched to the "right" locations (where customer demand is present) so as to improve quality of life. For instance, am…
TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control
Srishti Dhamija, Pradeep Varakantham
Real-time traffic signal control is a challenging problem owing to constantly changing traffic demand patterns, limited planning time and various sources of uncertainty (e.g., turn…
Entropy based Independent Learning in Anonymous Multi-Agent Settings
Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
Efficient sequential matching of supply and demand is a problem of interest in many online to offline services. For instance, Uber, Lyft, Grab for matching taxis to customers; Uber…