{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/actor-critic-algorithms","title":"Actor-Critic Algorithms","arxiv_id":null,"date":"1999-12-01","proceeding":"Advances in Neural Information Processing Systems 1999 12","authors":["Vijay Konda","John Tsitsiklis"],"abstract":"We propose and analyze a class of actor-critic algorithms for simulation-based optimization of a Markov decision process over\r\na parameterized family of randomized stationary policies. These are two-time-scale algorithms in which the critic uses TD learning with a linear approximation architecture and the actor is updated in an approximate gradient direction based on information provided by the critic. We show that the features for the critic should span a subspace prescribed by the choice of parameterization of the actor. We conclude by discussing convergence properties and some open problems.","url_abs":"https://proceedings.neurips.cc/paper/1999/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","url_pdf":"https://gitee.com/link?target=https%3A%2F%2Fproceedings.neurips.cc%2Fpaper%2F1999%2Ffile%2F6449f44a102fde848669bdd9eb6b76fa-Paper.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"actor-critic-algorithms","repo_url":"https://github.com/xiuyu0000/new_papers_codes/tree/main/ac","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}