The stream at EURO 2024 welcomed 10 sessions:<\/p>\n
MA-3 Industrial Optimization<\/a> chair Grzegorz Pawlak TB-3 Machine Learning in Applied Optimization\u00a0<\/a> TD-3 Data science meets strongly NP-Hard CO<\/a> chair Dimitri Papadimitriou <\/p>\n","protected":false},"excerpt":{"rendered":" The stream at EURO 2024 welcomed 10 sessions: MA-3 Industrial Optimization chair Grzegorz Pawlak MB-3 Optimization in Online Environments chair Grzegorz Pawlak MC-3 (Deep) Reinforcement Learning for Combinatorial Optimization 1\u00a0 […]<\/p>\n","protected":false},"author":34,"featured_media":0,"template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[],"class_list":["post-686","tribe_events","type-tribe_events","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/686"}],"collection":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/users\/34"}],"version-history":[{"count":1,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/686\/revisions"}],"predecessor-version":[{"id":688,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events\/686\/revisions\/688"}],"wp:attachment":[{"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/media?parent=686"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tags?post=686"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/dso\/wp-json\/wp\/v2\/tribe_events_cat?post=686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nMB-3 Optimization in Online Environments<\/a> chair Grzegorz Pawlak
\nMC-3 (Deep) Reinforcement Learning for Combinatorial Optimization 1\u00a0<\/a>
\nMD-3 (Deep) Reinforcement Learning for Combinatorial Optimization 2<\/a>
\nTA-3 (Deep) Reinforcement Learning for Combinatorial Optimization 3\u00a0<\/a>
\nchairs for MC-3, MD-3 and TA-3: Kevin Tierney, Yingqian Zhang<\/p>\n
\nTC-3 Optimization and Machine Learning: Methodological Advances\u00a0<\/a>
\nchair for TB-3 and TC-3: Michael R\u00f6mer<\/p>\n
\nWA-3 Data Science and Optimization<\/a> chairs Andrew J. Parkes, Ender \u00d6zcan, Chang Liu
\nWB-3 Interpretable Optimization Methods and Applications<\/a> chair Patrick De Causmaecker<\/p>\n