Jul 25, 2024 · We propose a framework where a principal guides an agent in a Markov Decision Process (MDP) using a series of contracts.
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Jul 25, 2024 · In many modern reinforcement learning settings, self-interested agents learn to perform a multi-stage task delegated to them by a principal. We ...
Sep 27, 2024 · The paper proposes to apply principal--agent theory to multi-agent RL with the goal of applying their methods to resolve social dilemma-like ...
Abstract. Principal-agent problems arise when one party acts on be- half of another, leading to conflicts of interest. The economic.
Sep 9, 2024 · In many modern reinforcement learning settings, self-interested agents learn to perform a multi-stage task delegated to them by a principal. We ...
Jul 29, 2024 · This work considers a repeated principal-agent bandit game, where the principal can only interact with her environment through the agent.
Missing: Reinforcement | Show results with:Reinforcement
We study principal-agent problems where a farsighted agent takes costly actions in an MDP. The core challenge in these settings is that agent's actions are ...
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We study a repeated Bayesian persuasion problem (and more generally, any generalized principal-agent problem with complete information)
Missing: Reinforcement | Show results with:Reinforcement
In this paper we present a merging and, hence an extension, of two recent learning methods, utility-based learning and strategic or adversarial learning.
Aug 26, 2021 · It leads to distinct solutions to alignment prob- lems, compared with more traditional approaches to preference learning like inverse.