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
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
DROPO: Sim-to-real transfer with offline domain randomization
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Reinforcement learning approach for train rescheduling on a single-track railway
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Deep Reinforcement Learning for Drone Delivery
Relational reinforcement learning for planning with exogenous effects
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
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
Opponent modelling in the game of tron using reinforcement learning
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
A reinforcement learning model for personalized driving policies identification
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Quantifying Teaching Behavior in Robot Learning from Demonstration
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Indirect Methods for Robot Skill Learning
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Learning Complex Motor Skills for Legged Robot Fall Recovery
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Deep Reinforcement Learning for Mobile Robot Navigation
Robot motion adaptation through user intervention and reinforcement learning
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Enhancing discrete choice models with representation learning