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
DROPO: Sim-to-real transfer with offline domain randomization
Reinforcement learning approach for train rescheduling on a single-track railway
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
GIS-based ensemble soft computing models for landslide susceptibility mapping
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Relational reinforcement learning for planning with exogenous effects
Incremental learning of skills in a task-parameterized Gaussian mixture model
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Quantifying Teaching Behavior in Robot Learning from Demonstration
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey