Implicit learning dynamics in stackelberg games: Equilibria characterization, convergence analysis, and empirical study
Contemporary work on learning in continuous games has commonly overlooked the
hierarchical decision-making structure present in machine learning problems formulated as …
hierarchical decision-making structure present in machine learning problems formulated as …
Global convergence of policy gradient methods to (almost) locally optimal policies
Policy gradient (PG) methods have been one of the most essential ingredients of
reinforcement learning, with application in a variety of domains. In spite of the empirical …
reinforcement learning, with application in a variety of domains. In spite of the empirical …