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
Deep Reinforcement Learning for Drone Delivery
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
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
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Incremental learning of skills in a task-parameterized Gaussian mixture model
Incremental learning of skills in a task-parameterized Gaussian Mixture Model