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Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network
Transformers have enabled breakthroughs in NLP and computer vision, and have recently began to show promising performance in trajectory prediction for Autonomous Vehicle (AV).
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace
In this study, a real-time dispatching algorithm based on reinforcement learning is proposed and for the first time, is deployed in large scale.
RL-Controller: a reinforcement learning framework for active structural control
To maintain structural integrity and functionality during the designed life cycle of a structure, engineers are expected to accommodate for natural hazards as well as operational load levels.
Transfer Learning for Input Estimation of Vehicle Systems
This study proposes a learning-based method with domain adaptability for input estimation of vehicle suspension systems.
Bridge Structural Health Monitoring using Asynchronous Mobile Sensing Data
In this study, the continuous wavelet transform is applied to each trip, and the results are combined to estimate the structural modal response of the bridge.
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
Data-driven models for predicting dynamic responses of linear and nonlinear systems are of great importance due to their wide application from probabilistic analysis to inverse problems such as system identification and damage diagnosis.
