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Robot motion adaptation through user intervention and reinforcement learning
On Policy Learning Robust to Irreversible Events: an Application to Robotic In-Hand Manipulation
Learning haptic exploration schemes for adaptive task execution
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Learning to Put On a Knit Cap in a Head-Centric Policy Space
Learning to Detect Loop Closure from Range Data
Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations
Exploiting symmetries in reinforcement learning of bimanual robotic tasks
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions
Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories
Robot motion adaptation through user intervention and reinforcement learning
Behavior recognition for learning from demonstration
Multi-agent immune networks to control interrupted flow at signalized intersections
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
The learning process of accessibility instrument developers: Testing the tools in planning practice
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Iterative Adaptive Critic Control Towards an Urban Wastewater Treatment Plant
Learning to Detect Loop Closure from Range Data