Robust Q-Learning against State Perturbations: a Belief-Enriched Pessimistic Approach | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

Robust Q-Learning against State Perturbations: a Belief-Enriched Pessimistic Approach

Award ID(s):: 2146548

PAR ID:: 10504771

Author(s) / Creator(s):: Sun, X.; Zheng, Z.

Publisher / Repository:: NeurIPS Workshop on Multi-Agent Security: Security as Key to AI Safety (MASEC)

Date Published:: 2023-12-16

Journal Name:: NeurIPS Workshop on Multi-Agent Security: Security as Key to AI Safety (MASEC)

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Conference Paper:
The DOI is not currently available.