{"id":25878,"date":"2025-11-09T13:01:23","date_gmt":"2025-11-09T10:01:23","guid":{"rendered":"https:\/\/w3.bilkent.edu.tr\/en\/?p=25878"},"modified":"2025-11-10T21:51:21","modified_gmt":"2025-11-10T18:51:21","slug":"math-seminar-stratification-theory-for-reinforcement-learning-justin-m-curry-400pm-november-10-2025-en","status":"publish","type":"post","link":"https:\/\/w3.bilkent.edu.tr\/en\/math-seminar-stratification-theory-for-reinforcement-learning-justin-m-curry-400pm-november-10-2025-en\/","title":{"rendered":"MATH Seminar: \u201cStratification Theory for Reinforcement Learning\u201d, Justin M. Curry, 4:00PM November 10 2025 (EN)"},"content":{"rendered":"<p>You are cordially invited to the Topology Seminar organized by the Department of Mathematics.<\/p>\n<p>Speaker: Justin M. Curry (University at Albany)<\/p>\n<p>\u201cStratification Theory for Reinforcement Learning\u201d<\/p>\n<p>Abstract: In this talk I will use the framework of poset-stratified spaces to study games, where reward can be both discrete and continuous. Following work by Yuliy Baryshnikov, I will show how certain video games naturally give rise to stratified spaces. Surprisingly, when modern neural nets are trained to play these same video games, a similar stratification structure can be observed in their latent representations. Our methods follow recent work by Michael Robinson and others on using Volume Growth Laws to detect non-manifold structure in the token space for LLMs. We expand and strengthen Robinson\u2019s analysis by considering non-textual data and prove a realization result for volume growth in a stratified space. This is joint work with Brennan Lagasse, Ngoc B. Lam, Gregory Cox, David Rosenbluth, and Alberto Speranzon.<\/p>\n<p>Date: November 10, Monday, 2025<br \/>\nTime: 16:00 UTC+3<br \/>\nPlace: ZOOM<\/p>\n<p>To request the event link, please send a message to cihan.okay@bilkent.edu.tr<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You are cordially invited to the Topology Seminar organized by the Department of Mathematics. Speaker: Justin M. Curry (University at Albany) \u201cStratification Theory for Reinforcement Learning\u201d Abstract: In this talk I will use the framework of poset-stratified spaces to study games, where reward can be both discrete and continuous. Following [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/w3.bilkent.edu.tr\/en\/math-seminar-stratification-theory-for-reinforcement-learning-justin-m-curry-400pm-november-10-2025-en\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-25878","post","type-post","status-publish","format-standard","hentry","category-oldposts"],"_links":{"self":[{"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/posts\/25878","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/comments?post=25878"}],"version-history":[{"count":1,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/posts\/25878\/revisions"}],"predecessor-version":[{"id":25879,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/posts\/25878\/revisions\/25879"}],"wp:attachment":[{"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/media?parent=25878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/categories?post=25878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/w3.bilkent.edu.tr\/en\/wp-json\/wp\/v2\/tags?post=25878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}