Survey of machine learning techniques in spacecraft control design
Reinforcement learning to adjust parametrized motor primitives to new situations
Adaptive guidance and integrated navigation with reinforcement meta-learning
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
Deep Reinforcement Learning for Drone Delivery
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
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
A reinforcement learning model for personalized driving policies identification
Conditional Neural Movement Primitives
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Learning Complex Motor Skills for Legged Robot Fall Recovery
Robot motion adaptation through user intervention and 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
Opponent modelling in the game of tron using reinforcement learning
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Enhancing discrete choice models with representation learning
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Indirect Methods for Robot Skill Learning
Diagnostic Evaluation of Policy-Gradient-Based Ranking
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Predicting cycle-level traffic movements at signalized intersections using machine learning models
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
Deep Reinforcement Learning for Mobile Robot Navigation
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning