Solving the Online 3D Bin Packing Problem with Graph-Based Reinforcement Learning

Reinforcement Learning for Flight Control: Evaluating Handling Qualities and Stability Properties of the PH-LAB

On Non-Stationarity in Reinforced Deep Markov Models with Applications in Portfolio Optimization

Learning Vision-based Navigation Policies for Information Gathering with Quadcopters: A Deep Reinforcement Learning Approach

Reliable Offine Policy Evaluation for Individualized Mechanical Ventilation

Autonomous Sailing with Sim-to-Real Reinforcement Learning

Variable Stiffness Control for Sequential Contact Tasks

Multi-expert Preference Alignment in Reinforcement Learning

Reasoning about MDPs Abstractly: Bayesian Policy Search with Uncertain Prior Knowledge

Learning Human Preferences for Physical Human-Robot Cooperation

Engine Shop Visit Scheduling: A Reinforcement Learning Optimization Approach

Dynamic Target Time Management with Reinforcement Learning: A case study on Zurich short-haul regulated arrivals

Uncertainty-Aware Reinforcement Learning for Flight Control: Mastering the Mystery of Flight

UAV Swarm Intelligence in CEMA: Enhancing Urban Communication Line Management

Preference-Based Reinforcement Learninig in Demand Response Programs

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion

Automatic enhancement of vascular configuration for self-healing concrete through reinforcement learning approach

Synergetic-informed deep reinforcement learning for sustainable management of transportation networks with large action spaces

Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach