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Continuous residual reinforcement learning for traffic signal control optimization
Pragmatic Frames for Teaching and Learning in Human-Robot interaction: Review and Challenges
Preceding vehicle following algorithm with human driving characteristics
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare
Input-Decoupled Q-Learning for Optimal Control
Input-Decoupled Q-Learning for Optimal Control
Modular Reinforcement Learning for Autonomous UAV Flight Control
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning
Unlabeled scene adaptive crowd counting via meta-ensemble learning
Learning curve analysis of concentrated photovoltaic systems
Highway crash detection and risk estimation using deep learning
Learning efficient haptic shape exploration with a rigid tactile sensor array
A feature learning approach based on XGBoost for driving assessment and risk prediction
Teaching College Classes with Virtual Reality
Exploiting symmetries in reinforcement learning of bimanual robotic tasks
Odor supported place cell model and goal navigation in rodents
Comparison of benchmarking algorithms in Prosthesis
Transferability improvement in short-term traffic prediction using stacked LSTM network
Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
OrthographicNet:A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains
A novel passenger flow prediction model using deep learning methods
A novel passenger flow prediction model using deep learning methods
Controlling Signalized Intersections using Machine Learning
Innate heuristics and fast learning support escape route selection in mice
Reward-based epigenetic learning algorithm for a decentralised multi-agent system
Teaching Human Poses Interactively to a Social Robot
A methodology to evaluate driving efficiency for professional drivers based on a maturity model
Real-world ride-hailing vehicle repositioning using deep reinforcement learning
Exploring disturbance as a force for good in motor learning
Few-Shot traffic prediction based on transferring prior knowledge from local network