1 citations · 1 across the 13 of their papers we have counts for
8 papers · 1 filter
Robust Information Design with Heterogeneous Beliefs in Bayesian Congestion Games
Yuwei Hu, Bryce L. Ferguson
In many engineered systems, agents make decisions under incomplete information, creating opportunities for a planner to influence decentralized behavior through signaling. We study…
Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games
Bryce L. Ferguson, Chinmay Maheshwari, Manxi Wu +1
Game-theoretic models and solution concepts provide rigorous tools for predicting collective behavior in multi-agent systems. In practice, however, different agents may rely on dif…
Trial-and-Error Learning in Decentralized Matching Markets
Vade Shah, Bryce L. Ferguson, Jason R. Marden
Two-sided matching markets, environments in which two disjoint groups of agents seek to partner with one another, arise in several contexts. In static, centralized markets where ag…
Bridging the Gap Between Central and Local Decision-Making: The Efficacy of Collaborative Equilibria in Altruistic Congestion Games
Bryce L Ferguson, Dario Paccagnan, Bary S R Pradelski +1
Congestion games are popular models often used to study the system-level inefficiencies caused by selfish agents, typically measured by the price of anarchy. One may expect that al…
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
Vade Shah, Bryce L. Ferguson, Jason R. Marden
Matching algorithms have demonstrated great success in several practical applications, but they often require centralized coordination and plentiful information. In many modern onl…
Optimal Taxes in Atomic Congestion Games
Dario Paccagnan, Rahul Chandan, Bryce L Ferguson +1
How can we design mechanisms to promote efficient use of shared resources? Here, we answer this question in relation to the well-studied class of atomic congestion games, used to m…