51 citations · 96 across the 20 of their papers we have counts for
5 papers · 1 filter
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng +3
In this paper, we present a safe deep reinforcement learning system for automated driving. The proposed framework leverages merits of both rule-based and learning-based approaches…
Towards Dynamic Pricing for Shared Mobility on Demand using Markov Decision Processes and Dynamic Programming
Yue Guan, Anuradha M. Annaswamy, H. Eric Tseng
In a Shared Mobility on Demand Service (SMoDS), dynamic pricing plays an important role in the form of an incentive for the decision of the empowered passenger on the ride offer. S…
Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services
Yue Guan, Anuradha M. Annaswamy, H. Eric Tseng
Cumulative Prospect Theory (CPT) is a modeling tool widely used in behavioral economics and cognitive psychology that captures subjective decision making of individuals under risk…
Autonomous Highway Driving using Deep Reinforcement Learning
Subramanya Nageshrao, Eric Tseng, Dimitar Filev
The operational space of an autonomous vehicle (AV) can be diverse and vary significantly. This may lead to a scenario that was not postulated in the design phase. Due to this, for…
A Dynamic Routing Framework for Shared Mobility Services
Yue Guan, Anuradha M. Annaswamy, H. Eric Tseng
Travel time in urban centers is a significant contributor to the quality of living of its citizens. Mobility on Demand (MoD) services such as Uber and Lyft have revolutionized the…