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learning
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Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Zustandsüberwachung mit Regelfahrzeugen
Efficient and Stable Online Learning for Developmental Robots
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Efficient learning of robust quadruped bounding using pretrained neural networks
International Maritime Management: Serving the seafarers of tomorrow and their educational needs
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Conditional Neural Movement Primitives
Learning tactile skills through curious exploration
Opponent modelling in the game of tron using reinforcement learning
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Incremental learning of skills in a task-parameterized Gaussian mixture model
Learning Complex Motor Skills for Legged Robot Fall Recovery
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"
Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Benchmarking von Verhaltens-Algorithmen für die Applikation in Motorsport-Szenarien
Indirect Methods for Robot Skill Learning
Identification of symbols and its influence on training for motor vehicle controls
Urban traffic control based on learning agents
Deep Reinforcement Learning for Mobile Robot Navigation
Learning motion skills for a humanoid robot
Predicting cycle-level traffic movements at signalized intersections using machine learning models
Robot motion adaptation through user intervention and reinforcement learning
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Enhancing discrete choice models with representation learning
Learning Driver Behavior Models for Predicting Urban Traffic Situations
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Regenerative braking and low vehicle noise of electric vehicles – implications for the driver
Validity index in dynamic cell structures
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A methodology for photometric validation in vehicles visual interactive systems