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Maschinelles Lernen
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Innovation Paths for Machine Learning in Robotics
Simulation-driven machine learning for robotics and automation
Grasping learning, optimization, and knowledge transfer in the robotics field
Predicting the global structure of indoor environments: A constructive machine learning approach
On combining Big Data and machine learning to support eco-driving behaviours
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Activity Recognition with Wearable Sensors on Loose Clothing
Eluding Soot for Better Environment Using Machine Learning
Federated learning on the road autonomous controller design for connected and autonomous vehicles
Using ultrasound images of the forearm to predict finger positions
Learning efficient haptic shape exploration with a rigid tactile sensor array
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Application of algorithmic models of machine learning to the freight transportation process
Proxy experience replay:federated distillation for distributed reinforcement learning