Learning Human Preferences for Physical Human-Robot Cooperation

Multi-Level and Learning-Based Model Predictive Control for Traffic Management

Risk Aversion and Guided Exploration in Safety-Constrained Reinforcement Learning

Efficient Control for Cooperation: Communication, Learning and Robustness in Multi-Agent Systems

Conflict Resolution at High Traffic Densities with Reinforcement Learning

Generalized Models of Sequential Decision-Making under Uncertainty

Micromechanics-guided development of strain-hardening alkali-activated composites: Towards a low-carbon built environment

Interaction-Aware Motion Planning in Crowded Dynamic Environments

Urn models and other approaches to risk and tails, with applications in risk management and climatology

Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning

Testing and modeling of sheet pile reinforced dikes on organic soils: Insights from the Eemdijk full-scale failure test

Models and heuristics for hard routing and knapsack problems

Decisions on life-cycle reliability of flood defence systems

Balancing and redispatch: the next stepping stones in European electricity market integration: Improving the market design and the efficiency of the procurement of balancing and redispatch services

A multi-scale approach towards reusable steel-concrete composite floor systems

The Intersection of Planning and Learning

Towards a systematic design approach of D-regions in reinforced concrete: Optimization-based generation of Strut-and-Tie models

Surface Crack Growth in Metallic Pipes Reinforced with Composite Repair System

Discrete fiber models beyond classical applications: Rigid line inclusions, fiber-based batteries, challenges

Sample effficient deep reinforcement learning for control