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Learning and exit behavior of new entrant discount airlines from city-pair markets
Understanding the Impact of Electric Vehicle Driving Experience on Range Anxiety
Decision making for highway complex scenario by improved safety field with learning process
Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking
A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
Identification of the Students Learning Process During Education Robotics Activities
The learning process of accessibility instrument developers: Testing the tools in planning practice
Simulation-driven machine learning for robotics and automation
Production scheduling of assembly fixtures in the aeronautical industry
Unmixing method for hyperspectral data based on sub-space method with learning process
Survey of machine learning techniques in spacecraft control design
Adaptive guidance and integrated navigation with reinforcement meta-learning
Reinforcement learning to adjust parametrized motor primitives to new situations
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
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
DROPO: Sim-to-real transfer with offline domain randomization
GIS-based ensemble soft computing models for landslide susceptibility mapping
Intelligent vehicle highway systems: a call for user-centred design
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Reinforcement learning approach for train rescheduling on a single-track railway
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Data mining for quality control: Burr detection in the drilling process
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Relational reinforcement learning for planning with exogenous effects
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Quantifying Teaching Behavior in Robot Learning from Demonstration
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Efficient learning of robust quadruped bounding using pretrained neural networks
Learning tactile skills through curious exploration
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Incremental learning of skills in a task-parameterized Gaussian mixture model
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Learning Complex Motor Skills for Legged Robot Fall Recovery
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Robot motion adaptation through user intervention and reinforcement learning
Predicting cycle-level traffic movements at signalized intersections using machine learning models
Enhancing discrete choice models with representation learning