Survey of machine learning techniques in spacecraft control design
Adaptive guidance and integrated navigation with reinforcement meta-learning
Reinforcement learning to adjust parametrized motor primitives to new situations
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
DROPO: Sim-to-real transfer with offline domain randomization
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Reinforcement learning approach for train rescheduling on a single-track railway
GIS-based ensemble soft computing models for landslide susceptibility mapping
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Incremental learning of skills in a task-parameterized Gaussian mixture model
Relational reinforcement learning for planning with exogenous effects
Quantifying Teaching Behavior in Robot Learning from Demonstration
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Robot motion adaptation through user intervention and reinforcement learning
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Learning Complex Motor Skills for Legged Robot Fall Recovery
Efficient learning of robust quadruped bounding using pretrained neural networks
Learning tactile skills through curious exploration
Enhancing discrete choice models with representation learning
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Predicting cycle-level traffic movements at signalized intersections using machine learning models
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Multi-expert synthesis for versatile locomotion and manipulation skills
VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios
Towards real-time reinforcement learning control of a wave energy converter
A gradient boosting method to improve travel time prediction
Continuous residual reinforcement learning for traffic signal control optimization