Reinforcement learning for order distribution in self-organizing logistics

End-to-End Hierarchical Reinforcement Learning for Adaptive Flight Control: A method for model-independent control through Proximal Policy Optimization with learned Options

Bus management using multi-agent reinforcement learning

Using reinforcement learning for finding the optimal quantum annealing schedule

Log-Based Behavioral System Model Inference Using Reinforcement Learning

Music Playlist Generation for Emotion Regulation: A Functional Component in the Individualized Music Intervention for Persons with Dementia

Reinforcement Learning for Switching of Semiautomated Vehicles Under Uncomfortable Driving Situations

Reinforcement Learning for Switching Control of Semi-automated Vehicles with Driver Fatigue

Reinforcement Learning approach for decision-making in driver control shifting for semi-autonomous driving

Facing the ball carrier in AI World Cup soccer

Safe Reinforcement Learning by Shielding for Autonomous Vehicles

Online reinforcement learning with sparse rewards through an active inference capsule

Towards Explainable Automation for Air Traffic Control Using Deep Q-learning from Demonstrations and Reward Decomposition

Safe Curriculum Learning for Linear Systems With Unknown Dynamics in Primary Flight Control

Fleet Planning Under Demand and Fuel Price Uncertainty Using Actor-Critic Reinforcement Learning

Sample-efficient multi-agent reinforcement learning using learned world models

Assessment of Reinforcement Learning for CubeSat concept generation

Artificial Potential Fields for Safe Reinforcement Learning: in Flight Control Systems

Robotic Grasping of Deformable Food Objects: A Human-Inspired Reinforcement Learning Approach

Safe Reinforcement Learning for Automated Vehicles