Indirect Methods for Robot Skill Learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Coordination and communication in deep multi-agent reinforcement learning
Learning and generalizing behaviors for robots from human demonstration
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
Providing and assessing intelligible explanations in autonomous driving
Measurement and analysis of interactive behavior in tutoring action with children and robots
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Human motion prediction using wearable sensors and machine Learning
Inverse Reinforcement Learning Control for Trajectory Tracking for a Quadrotor UAV
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles