Grid-aware Stochastic Game modeling of residential electric flexibility under incentives

Author:

Rosato FedericoORCID

Funder

Bundesamt für Energie

Publisher

Elsevier BV

Subject

General Energy

Reference38 articles.

1. Akchurina, N., 2009. Multiagent reinforcement learning: Algorithm converging to Nash equilibrium in general-sum discounted stochastic games. In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems. AAMAS, Vol. 1, (ISSN: 1558-2914) pp. 531–538.

2. Brown’s original fictitious play;Berger;J. Econ. Theory,2007

3. Buşoniu, L., Babuška, R., De Schutter, B., 2006. Multi-agent reinforcement learning: A survey. In: 9th International Conference on Control, Automation, Robotics and Vision. 2006, ICARCV ’06, pp. 1–13.

4. A comprehensive survey of multiagent reinforcement learning;Buşoniu;IEEE Trans. Syst. Man Cybern. C Appl. Rev.,2008

5. The complexity of Markov equilibrium in stochastic games;Daskalakis,2023

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