21 papers
Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcement Learning
Patrick Oberlin, Matteo Cederle, Aren Karapetyan +3
Curling is often referred to as "Chess on Ice", owing to the tactical complexity of its decision-making process. Yet unlike chess, curling remains largely underexplored from a mach…
A Coalitional Stable and Fair Reward Allocation for Dynamic Virtual Power Plants
Carl von Holly-Ponientzietz, Saverio Bolognani, Florian Dörfler +1
This paper establishes crucial cooperation criteria for the operation of Dynamic Virtual Power Plants (DVPPs). We propose a control design and reward allocation mechanism to enable…
Welfarist Control Design -- How to fulfill the societal mandate in multi-agent control?
Sophie Hall, Kai Zhang, Ilia Shilov +2
At the core of most socio-technical systems lies a scarce resource that is allocated among agents: highway lanes, public transit, road space, water rights, energy access, grid capa…
Invariant Price of Anarchy and Multiplicative Smoothness
Ilia Shilov, Heinrich H. Nax, Saverio Bolognani
The Price of Anarchy (PoA) is a popular measure of the costs of decentralization in terms of efficiency losses. Almost all PoA analyses operate within a framework assuming both Car…
Incentive-Based Load Curtailment with Limited Information: A Bilevel Zeroth-Order Learning Approach
Zhisen Jiang, Florian Dörfler, Saverio Bolognani
Incentive-based load curtailment unlocks critical demand-side flexibility but is hindered by the limited knowledge of private user parameters and the inherent nonsmoothness of resp…
Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies
Matteo Cederle, Saverio Bolognani, Gian Antonio Susto
Dynamic Population Games (DPGs) provide a tractable framework for modeling strategic interactions in large populations of self-interested agents, and have been successfully applied…