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