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Exploring disturbance as a force for good in motor learning
Relational reinforcement learning with guided demonstrations
A cold-start-free reinforcement learning approach for traffic signal control
Soft one-class extreme learning machine for turboshaft engine fault detection
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
2D-VSR-Sim: A simulation tool for the optimization of 2-D voxel-based soft robots
An efficient realization of deep learning for traffic data imputation
Tramstore21: the use of peer reviews in building more sustainable and efficient tram depot
ResLogit: A residual neural network logit model for data-driven choice modelling
Introduction to the Virtual Collection on Machine Learning in Aerospace
Distributed Coverage Control by Robot Networks in Unknown Environments Using a Modified EM Algorithm
Industrial robot control with object recognition based on deep learning
Benchmarking deep learning approaches for all-vs-all conjunction screening
Autonomous anomaly detection on traffic flow time series with reinforcement learning
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Some implications of an event-based definition of exposure to the risk of road accident
Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions
A MAS architecture for dynamic, realtime rescheduling and learning applied to railway transportation
VIRTUAL CLASSROOM IN DIGITAL AGE: CONCEPT, PRODUCT AND APPLICABILITY
APPLICATIONS OF VIRTUAL SIMULATION IN MEDICAL EDUCATION
Comparing Deep Reinforcement Learning Algorithms Ability to Safely Navigate Challenging Waters
ARLO: A framework for Automated Reinforcement Learning
Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties
Artificial intelligence for traffic signal control based solely on video images
Detection and classification of vehicle types using machine learning technology
Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning
Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Adaptive fuzzy control of satellite attitude by reinforcement learning
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Innovation Paths for Machine Learning in Robotics
RANCANG BANGUN ROBOT LEGO SEBAGAI MEDIA PEMBELAJARAN SEKOLAH DASAR BERBASIS ARDUINO MEGA
Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game