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Machine learning and deep learning
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Towards mastery of complex visuo-motor transformations
Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
Instance segmentation and 3D multi-object tracking for autonomous driving
An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios
VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES
Pedestrian simulation as multi-objective reinforcement learning
Crash Rate Estimation by Aerial Image Analysis
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Towards real-time reinforcement learning control of a wave energy converter
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation
Adaptive human-robot policy blending for shared control teleoperation