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
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
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Quantifying Teaching Behavior in Robot Learning from Demonstration
A reinforcement learning model for personalized driving policies identification
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Efficient learning of robust quadruped bounding using pretrained neural networks
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Learning tactile skills through curious exploration
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Incremental learning of skills in a task-parameterized Gaussian mixture model
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Learning Complex Motor Skills for Legged Robot Fall Recovery
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Predicting cycle-level traffic movements at signalized intersections using machine learning models
Robot motion adaptation through user intervention and reinforcement learning
Enhancing discrete choice models with representation learning
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Multi-expert synthesis for versatile locomotion and manipulation skills
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Using reinforcement learning to minimize taxi idle times
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs