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Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots
A Framework for Learning Behavior Trees in Collaborative Robotic Applications
A Generalized Training Approach for Multiagent Learning
A Model Based Iterative Learning Control Method Applied to an Industrial Robot
A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture
An Online Learning Method for Microgrid Energy Management Control*
Arm-Side Evaluation of ILC Applied to a Six-Degrees-of-Freedom Industrial Robot
Cognitive radar mode control: a comparison of different reinforcement learning algorithms
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
CT-DQN: Control-Tutored Deep Reinforcement Learning
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings