Soheil Sadeghi Eshkevari

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Partially Observable Domains

Reinforcement Learning

Top Venues

Publications

Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. KDD (2022)
Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. CoRR (2022)
Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. CoRR (2022)
Soheila Sadeghi Eshkevari, Soheil Sadeghi Eshkevari, Debarshi Sen, Shamim N. Pakzad
RL-Controller: a reinforcement learning framework for active structural control. CoRR (2021)
Liam M. Cronin, Soheil Sadeghi Eshkevari, Debarshi Sen, Shamim N. Pakzad
Transfer Learning for Input Estimation of Vehicle Systems. ICASSP (2021)
Thomas J. Matarazzo, Dániel Kondor, Paolo Santi, Sebastiano Milardo, Soheil Sadeghi Eshkevari, Shamim N. Pakzad, Carlo Ratti
Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips. CoRR (2020)
Liam M. Cronin, Soheil Sadeghi Eshkevari, Debarshi Sen, Shamim N. Pakzad
Transfer Learning for Input Estimation of Vehicle Systems. CoRR (2020)
Soheil Sadeghi Eshkevari, Martin Takác, Shamim N. Pakzad, Majid Jahani
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction. CoRR (2020)