5 papers
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
Georgios C. Chasparis
Reinforcement-based learning has attracted considerable attention both in modeling human behavior as well as in engineering, for designing measurement- or payoff-based optimization…
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part B: Stochastic Stability in Weakly Acyclic Games
Georgios C. Chasparis
Reinforcement-based learning dynamics may exhibit several limitations when applied in a distributed setup. In (repeatedly-played) multi-player/action strategic-form games, and when…
Causally-Guided Pairwise Transformer -- Towards Foundational Digital Twins in Process Industry
Michael Mayr, Georgios C. Chasparis
Foundational modelling of multi-dimensional time-series data in industrial systems presents a central trade-off: channel-dependent (CD) models capture specific cross-variable dynam…
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
Aleksei Kychkin, Georgios C. Chasparis
Electricity load consumption may be extremely complex in terms of profile patterns, as it depends on a wide range of human factors, and it is often correlated with several exogenou…
Causal Time-Series Synchronization for Multi-Dimensional Forecasting
Michael Mayr, Georgios C. Chasparis, Josef Küng
The process industry's high expectations for Digital Twins require modeling approaches that can generalize across tasks and diverse domains with potentially different data dimensio…