Much change is happening in electricity markets due to the entrance of small-scale
prosumers that both generate and consume electricity. Both large and small consumers can …

Learning in stochastic games is arguably the most standard and fundamental setting in multi-
agent reinforcement learning (MARL). In this paper, we consider decentralized MARL in …

We show that the problem of deciding whether in a multi-player perfect information recursive
game (ie a stochastic game with terminal rewards) there exists a stationary Nash equilibrium …

In this paper, we carry out finite-sample analysis of decentralized Q-learning algorithms in
the tabular setting for a significant subclass of general-sum stochastic games (SGs)–weakly …

We study the rational verification problem for multi-agent systems in a setting where agents
have quantitative probabilistic goals. We use concurrent stochastic games to model multi …

Decision analysis and risk analysis have grown up around a set of organizing questions:
what might go wrong, how likely is it to do so, how bad might the consequences be, what …

4 DESIGN OF POWER PURCHASE AGREEMENTS WITH RENEWABLE ENERGY
GENERATORS................................ 243 4.1 Introduction.................................... 243 4.1. 1 …

We study the existence of mixed-strategy equilibria in concurrent games played on graphs.
While existence is guaranteed with safety objectives for each player, Nash equilibria need …

Decision analysis and risk analysis have grown up around a set of organizing questions:
what might go wrong, how likely is it to do so, how bad might the consequences be, what …

We show that the problem of deciding whether in a multi-player perfect information recursive
game (ie a stochastic game with terminal rewards) there exists a stationary Nash equilibrium …