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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
Zustandsüberwachung mit Regelfahrzeugen
Deep Reinforcement Learning for Drone Delivery
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
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
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
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
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Robot motion adaptation through user intervention and reinforcement learning
Learning Complex Motor Skills for Legged Robot Fall Recovery
Efficient learning of robust quadruped bounding using pretrained neural networks
Learning tactile skills through curious exploration
Diagnostic Evaluation of Policy-Gradient-Based Ranking
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
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
VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios
Towards real-time reinforcement learning control of a wave energy converter
Continuous residual reinforcement learning for traffic signal control optimization
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Autonomous Driving using Deep Reinforcement Learning in Urban Environment
Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare
A review of deep learning methods and applications for unmanned aerial vehicles
Machine learning and deep learning