Indirect Methods for Robot Skill Learning
Towards robust reinforcement learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Learning and generalizing behaviors for robots from human demonstration
Coordination and communication in deep multi-agent reinforcement learning
Learning physical intuition for robotic manipulation
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
Transfer of reinforcement learning for a robotic skill
Learning-based methods for Robotic control
Measurement and analysis of interactive behavior in tutoring action with children and robots
Providing and assessing intelligible explanations in autonomous driving
Deep recurrent neural networks for abstractive text summarization
Human motion prediction using wearable sensors and machine Learning
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles
Inverse Reinforcement Learning Control for Trajectory Tracking for a Quadrotor UAV
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles