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