Model-based causal Bayesian optimization
How should we intervene on an unknown structural equation model to maximize a
downstream variable of interest? This setting, also known as causal Bayesian optimization …
downstream variable of interest? This setting, also known as causal Bayesian optimization …
Adversarial Causal Bayesian Optimization
In Causal Bayesian Optimization (CBO), an agent intervenes on a structural causal model
with known graph but unknown mechanisms to maximize a downstream reward variable. In …
with known graph but unknown mechanisms to maximize a downstream reward variable. In …
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
The Nash equilibrium (NE) is a classic solution concept for normal-form games that is stable
under potential unilateral deviations by self-interested agents. Bayesian optimization (BO) …
under potential unilateral deviations by self-interested agents. Bayesian optimization (BO) …
Learning and Efficiency in Multi-Agent Systems
PG Sessa - 2022 - research-collection.ethz.ch
Several important real-world problems involve multiple entities interacting with each other
and can thus be modeled as multi-agent systems. Multi-agent systems are at the core of our …
and can thus be modeled as multi-agent systems. Multi-agent systems are at the core of our …