Indirect Methods for Robot Skill Learning
Towards robust reinforcement learning
Coordination and communication in deep multi-agent reinforcement learning
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Learning physical intuition for robotic manipulation
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
Learning and generalizing behaviors for robots from human demonstration
Learning-based methods for Robotic control
Transfer of reinforcement learning for a robotic skill
Measurement and analysis of interactive behavior in tutoring action with children and robots
Providing and assessing intelligible explanations in autonomous driving
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles
Human motion prediction using wearable sensors and machine Learning
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Artificial Intelligence for Non-Contact-Based Driver Health Monitoring
Exploiting Prior Knowledge in Robot Motion Skills Learning
Inverse Reinforcement Learning Control for Trajectory Tracking for a Quadrotor UAV
Deep Reinforcement Learning for Cavity Filter Tuning
Object detection in high-resolution radar data
Dynamic movement primitives andreinforcement learning for adapting alearned skill
Combining learning and structure for robotic manipulation
Learning-based methods for planning and control of humanoid robots
Distributed Optimisation in Multi-Agent Systems Through Deep Reinforcement Learning
End-to-End Road Lane Detection and Estimation using Deep Learning
Reinforcement Learning for Hydrobatic AUVs ; Reinforcement learning för Hydrobatiska AUV
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Integrating Planning and Learning for Agents Acting in Unknown Environments
Learning algorithms for robotics systems
Interactive generation and learning of semantic-driven robot behaviors
Learning Control of Robotic Arm Using Deep Q-Neural Network
Visual Object Detection using Convolutional Neural Networks in a Virtual Environment
Self-supervised solutions for developmental learning with the humanoid robot iCub.
Game-theoretic payoff allocation in multiagent machine learning systems
Biologically inspired locomotion of compliant robots
A new deep reinforcement learning architecture for autonomous UAVs