Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Sequence-based multimodal apprenticeship learning for robot perception and decision making
A survey of robot learning from demonstration
Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
Sensor fusion for robot control through deep reinforcement learning
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Learning Real-World Robot Policies by Dreaming
Model-based recognition in robot vision
Distributed Perception by Collaborative Robots
Robot self-initiative and personalization by learning through repeated interactions
Realizing Multimodal Behavior Closing the gap between behavior planning and embodied agent presentation
Adapting learned robotics behaviours through policy adjustment
Goal emulation and planning in perceptual space using learned affordances
Integrated common sense learning and planning in POMDPs
robot life - long task learning from human demonstrations : a bayesian approach .
Deep Learning of Robotic Tasks using Strong and Weak Human Supervision
Simultaneously learning actions and goals from demonstration
Reinforcement Learning for Humanoid Robotics
Enactive Robot Vision
Supervision via competition: Robot adversaries for learning tasks
NEOL: Toward Never-Ending Object Learning for robots
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Large-Scale 6-DOF SLAM With Stereo-in-Hand
Learning deep features for image emotion classification
Plasmon-modulated photoluminescence from gold nanostructures and its dependence on plasmon resonance, excitation energy, and band structure
Secure FPGA circuits using controlled placement and routing
Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction