May 20, 2024 · In this problem agents can collaborate by pooling resources to get a group license for some asset. If the license price is not met agents have ...
scholar.google.com › citations
May 20, 2024 · In this paper we take (preliminary) steps towards the competitive analysis of online problems with predictions in multiagent settings. We will ...
Sep 12, 2024 · PDF | We study the power of (competitive) algorithms with predictions in a multiagent setting. For this we introduce a multiagent version of ...
Mar 22, 2024 · We investigate the effect of using such a predictor in an equilibrium, as well as the new equilibria formed in this way. This is joint work with ...
May 20, 2024 · Overview. This paper explores equilibrium dynamics in multi-agent online problems where agents can leverage predictions about the future.
Q: What are possible/desireable outcomes of learning in repeated matrix games? A: Equilibria. But which equilibria? Learning for Multi-AgentDecision Problems – ...
Equilibria problems on games: Complexity versus succinctness. We study the computational complexity of problems involving equilibria in strategic games and ...
We show that the agents learn to play for each coordination signal value a randomly chosen pure-strategy Nash equilibrium of the game. Therefore, the outcome is ...
In this paper, we are interested in how agents interact with each other in multi-agent systems. First, we model the interactions among agents in multi-agent ...
An extensive empirical game-theoretic analysis demonstrates that bidding strategies that use such predictions are effective in simultaneous auctions with both ...