Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
A reinforcement learning model for personalized driving policies identification
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Pedestrian simulation as multi-objective reinforcement learning
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Coordination and communication in deep multi-agent reinforcement learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Deep recurrent neural networks for abstractive text summarization
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection