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A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
Identification of the Students Learning Process During Education Robotics Activities
Simulation-driven machine learning for robotics and automation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
Reinforcement learning to adjust parametrized motor primitives to new situations
DROPO: Sim-to-real transfer with offline domain randomization
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Deep Reinforcement Learning for Drone Delivery
Relational reinforcement learning for planning with exogenous effects
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Quantifying Teaching Behavior in Robot Learning from Demonstration
A reinforcement learning model for personalized driving policies identification
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Zustandsüberwachung mit Regelfahrzeugen
Efficient learning of robust quadruped bounding using pretrained neural networks
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
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
Learning Complex Motor Skills for Legged Robot Fall Recovery
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Robot motion adaptation through user intervention and reinforcement learning
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Multi-expert synthesis for versatile locomotion and manipulation skills
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES
Machine learning and deep learning
Towards real-time reinforcement learning control of a wave energy converter
An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios
Autonomous Driving using Deep Reinforcement Learning in Urban Environment
A review of deep learning methods and applications for unmanned aerial vehicles
Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport