Creation and validation of a simulation environment for machine learning with drones

Spiking Neural Networks Based Data Driven Control: An Illustration Using Cart-Pole Balancing Example

Heuristics-based causal discovery: Discovering causal relations through heuristics-based action planning and dynamical search space adjustment

The Effects of Entropy Regularization and Lyapunov Stability Constraint on Multi-Agent Reinforcement Learning for Autonomous Driving

Grasp-RCNN for a two-fingered pinch-gripper: A multiple RCNN approach

Automated Machine Learning in Medical Image Segmentation

Bayesian Deep Learning for Distilling Physical Laws from Videos

Robust map building for robot navigation in dynamic environments

Reinforcement Learning Compensated Filter for Position and Orientation Estimation

Bayesian Deep Learning for Dynamic System Identification

Towards Real-Time Human Pose Estimation For Mobile Device

Deep Learning for 4D Longitudinal Segmentation of MRI Brain Tissues and Glioma

Safe Reinforcement Learning for Automated Vehicles

Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques

Model Free Reinforcement Learning with Stability Guarantee