A Comparative Study of Optimization Models for Condition-Based Maintenance Scheduling of an Aircraft Fleet

Probabilistic Motion Planning for Multi-Robot Systems

Decentralized probabilistic multi-robot collision avoidance using buffered uncertainty-aware Voronoi cells

Collective Decision Making through Self-regulation: Mechanisms and Algorithms for Self-regulation in Decision-Theoretic Planning

The Complexity of Stability: In Parallel Processor Scheduling

Planning under Uncertainty in Constrained and Partially Observable Environments

Interactive Learning and Decision Making: Foundations, Insights & Challenges

Learning and Optimizing Probabilistic Models for Planning under Uncertainty

Bounding the probability of resource constraint violations in multi-agent MDPs

Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply

Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes

Planning under Uncertainty with Weighted State Scenarios