Offline-Online Reoptimization using a Hybrid Method

Combining MPC and reinforcement learning in a model-reference framework for urban traffic signal control

REAL Reinforcement Learning: Planning with adversarial models

From Supervised to Reinforcement Learning: an Inverse Optimization Approach

Simulating an Scheduling Airport Security Checkpoints: Q-Learning-Based Allocation of Operators to Security Teams at an Airport Security Checkpoint

Reinforcement Learning for Quadcopter Fault Tolerance: Analyzing Hierarchical and Online Deep Reinforcement Learning for Quadcopter Fault Tolerant Control

Know what it does not know: Improving Offline Deep Reinforcement Learning with Uncertainty Estimation

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

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

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