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Electrophysiological correlates of reinforcement learning and credit assignment
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
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
Human motion prediction using wearable sensors and machine Learning
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles