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Adaptive human-robot policy blending for shared control teleoperation
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Path Planning Method for Unmanned Aerial Vehicle Based on Signal Reception Strength
An Energy Management Strategy for Traction Substation with ESS Based on Reinforcement Learning
Adaptive Traffic Control Using Cooperative Communication Through Visible Light
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Towards efficient airline disruption recovery with reinforcement learning
Sampling-based exploration strategies for mobile robot autonomy
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Optimization of ride-sharing with passenger transfer via deep reinforcement learning
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
This is what’s in store for you: How online social learning affects product positioning
Analyzing changes in travel patterns due to Covid-19 using Twitter data in India
Methodology for generating synthetic labeled datasets for visual container inspection