Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Model-free Probabilistic Movement Primitives for physical interaction
Probabilistic Movement Primitives
A Physics-Based Model Prior for Object-Oriented MDPs
Programming full-body movements for humanoid robots by observation
Adaptation and coaching of periodic motion primitives through physical and visual interaction
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation
Task-oriented generalization of dynamic movement primitive
Probabilistic Model Checking for Complex Cognitive Tasks -- A case study in human-robot interaction
Deep Reinforcement Learning for Robotic Manipulation-The state of the art
Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning
Randomized multi-modal motion planning for a humanoid robot manipulation task
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Policy Search for Motor Primitives in Robotics
Smooth human-robot interaction by interruptible gesture planning
Kernelized movement primitives
Interleaving motion in contact and in free space for planning under uncertainty
Dimensionality reduction for probabilistic movement primitives
A Framework for Real-Time Physical Human-Robot Interaction using Hand Gestures
Cost-Efficient Server Provisioning for Cloud Gaming
Learning Parameterized Skills
DC blocking capacitor interfacing for high speed communication buses
Sustainable Development" A Critical Review
A maturity model for Business Intelligence System project in Small and Medium-sized Enterprises: an empirical investigation