2024
Multi-Agent Learning in Contextual Games under Unknown Constraints
AISTATS 2024poster
We consider the problem of learning to play a repeated contextual game with unknown reward and unknown constraints functions. Such games arise in applications where each agent’s action needs to belong to a feasible set, but the feasible set is a priori unknown. For example, in constrained multi-agen…