Venktesh Pandey

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 7

Top Topics

Market Conditions

Dynamic Pricing

Reinforcement Learning

Top Venues

Publications

Niharika Deshpande, Hyoshin Park, Venktesh Pandey, Gyugeun Yoon
Advancing Temporal Multimodal Learning with Physics Informed Regularization. CISS (2023)
Hyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek J. Posselt, Steve Chien
Temporal Multimodal Multivariate Learning. CoRR (2022)
Hyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek J. Posselt, Steve Chien
Temporal Multimodal Multivariate Learning. KDD (2022)
Venktesh Pandey, Evana Wang, Stephen D. Boyles
Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations. CoRR (2019)
Venktesh Pandey, Julien Monteil, Claudio Gambella, Andrea Simonetto
On the needs for MaaS platforms to handle competition in ridesharing mobility. CoRR (2019)
Venktesh Pandey, Stephen D. Boyles
Multiagent Reinforcement Learning Algorithm for Distributed Dynamic Pricing of Managed Lanes. ITSC (2018)
Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, Natalia Ruiz-Juri
Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. IEEE BigData (2017)