Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
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
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
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Innovation Paths for Machine Learning in Robotics
Deep learning and big data for intelligent transportation : enabling technologies and future trends