5 papers
GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning
Zhiyuan Fan, Gabriele Farina
Competitive multi-agent reinforcement learning in imperfect-information games requires agents to act under partial observability and against adversarial opponents, necessitating st…
On the Complexity of Correlated Equilibria Beyond Normal-Form Games
Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina +3
Correlated equilibria are a fundamental solution concept in game theory. However, despite decades of research, the complexity beyond games of polynomial type -- such as extensive-f…
Defensive Generation
Gabriele Farina, Juan Carlos Perdomo
We study the problem of efficiently producing, in an online fashion, generative models of scalar, multiclass, and vector-valued outcomes that cannot be falsified on the basis of th…
On the Universal Near Optimality of Hedge in Combinatorial Settings
Zhiyuan Fan, Arnab Maiti, Kevin Jamieson +2
In this paper, we study the classical Hedge algorithm in combinatorial settings. In each round, the learner selects a vector from a set ,…
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
Arnab Maiti, Zhiyuan Fan, Kevin Jamieson +2
In this paper, we study the online shortest path problem in directed acyclic graphs (DAGs) under bandit feedback against an adaptive adversary. Given a DAG with a sour…