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RTFM: Generalising to New Environment Dynamics via Reading
CT-DQN: Control-Tutored Deep Reinforcement Learning
Testing the TASP: An experimental investigation of learning in games with unstable equilibria
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
A Generalized Training Approach for Multiagent Learning
Cognitive radar mode control: a comparison of different reinforcement learning algorithms
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning
A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots
Safe Trajectory Sampling in Model-Based Reinforcement Learning
A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
Simultaneous control and recognition of demonstrated behavior
Simultaneous control and recognition of demonstrated behavior
Learning Deep Neural Policies with Stability Guarantees
Machine Learning for Soft Robot Sensing and Control: A Tutorial Study
Stable Opponent Shaping in Differentiable Games
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Learning to Detect Loop Closure from Range Data
A Framework for Learning Behavior Trees in Collaborative Robotic Applications
An Online Learning Method for Microgrid Energy Management Control*
Performance of ILC Applied to a Flexible Mechanical System
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Virtual Reality (VR) Safety Education for Ship Engine Training on Maintenance and Safety (ShipSEVR)
Identification of low-engaged learners in robot-led second language conversations with adults
A Model Based Iterative Learning Control Method Applied to an Industrial Robot
Arm-Side Evaluation of ILC Applied to a Six-Degrees-of-Freedom Industrial Robot
RoboVis – a scenario for using virtual reality techniques in learning robot development
Remote lab experiment RC oscillator for learning of control
Machine Learning Methods for Enhanced Reliable Perception of Autonomous Systems
Policy Learning with Embedded Koopman Optimal Control
On the Convergence of Fictitious Play: A Decomposition Approach
State-of-the-art Report of Research about Multi Sensor Image-based Navigation