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
GIS-based ensemble soft computing models for landslide susceptibility mapping
DROPO: Sim-to-real transfer with offline domain randomization
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Deep Reinforcement Learning for Drone Delivery
Reinforcement learning approach for train rescheduling on a single-track railway
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Relational reinforcement learning for planning with exogenous effects
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Quantifying Teaching Behavior in Robot Learning from Demonstration
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
A reinforcement learning model for personalized driving policies identification
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Efficient learning of robust quadruped bounding using pretrained neural networks
International Maritime Management: Serving the seafarers of tomorrow and their educational needs
Learning tactile skills through curious exploration
Conditional Neural Movement Primitives
Incremental learning of skills in a task-parameterized Gaussian mixture model
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Indirect Methods for Robot Skill Learning
Opponent modelling in the game of tron using reinforcement learning
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Learning Complex Motor Skills for Legged Robot Fall Recovery
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Deep Reinforcement Learning for Mobile Robot Navigation
Predicting cycle-level traffic movements at signalized intersections using machine learning models
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Robot motion adaptation through user intervention and reinforcement learning
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Enhancing discrete choice models with representation learning
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation