A gradient boosting method to improve travel time prediction
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
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
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Propulsionless planar phasing of multiple satellites using deep reinforcement learning
A review of deep learning methods and applications for unmanned aerial vehicles
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Coordination and communication in deep multi-agent reinforcement learning
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation