CONTENTS<\/p>\n
Commentary
\nResearch and Business\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.. Ryohei Nakatsu 809<\/p>\n
Special Issue: \u201cReinforcement Learning\u201d
\nEditor\u2019s Introduction to \u201cReinforcement Learning\u201d\u2026..Shigenobu Kobayashi 810
\nReinforcement Learning Systems for Discrete Markov Decision Processes
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026. Kazuteru Miyazaki and Shigenobu Kobayashi 811
\nReinforcement Learning for Partially Observable Markov Decision Processes
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hajime Kimura and Leslie Pack Kaelbling 822
\nResearch Issues on Real Robot Reinforcement Learning\u2026\u2026\u2026.Minoru Asada 831
\nReinforcement Learning Applied to Power Plant Start-Up Scheduling
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Akimoto Kamiya 837
\nReinforcement Learning for Multi-Agent Systems\u2026\u2026\u2026\u2026Sadayoshi Mikami 845<\/p>\n
Survey Papers
\nAn Overview of Agent Technology and Its Applications\u2026\u2026\u2026.Yeun-Bae Kim 850<\/p>\n
Technical Papers
\nImprovement of Knowledge Processing Systems by Adding Equivalent
\nTransformation Rules.. Mamiko Hatayama,Kiyoshi Akama,and Eiichi Miyamoto 861
\nIsomorphism of Actions Based Reinforcement Learning
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Tomohiro Yamaguchi,Yuji Nomura,
\nYasuhiro Tanaka,and Masahiko Yachida 870
\nEmergence of Cooperative Behavior by Using a Look Ahead Method for
\nSelecting Actions in an Iterated Game..Shigeo Matsubara and Makoto Yokoo 881
\nNavigation Strategy Learning in Constraint Programming
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Megumi Ishii and Shigeo Kaneda 891
\nImplementing Dynamic Similarity in Case-Based Reasoning by Abductive
\nLogic Programming\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Ken Satoh 901
\nStand-Alone and Open-Ended Collection of Papers with Retrieval Capability
\n-Experience with JSAI 10th Anniversary Commemorative CD-ROM-
\n\u2026\u2026\u2026\u2026\u2026. Hiroshi G.Okuno,Katashi Nagao,Yoshiyuki Koseki,
\nHiroshi Yasuhara,and Ken\u2019ichi Yoshida 911
\nAligning Articles in TV Newscasts and Newspapers
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Yasuhiko Watanabe,Yoshihiro Okada,
\nTatsuhiko Tsunoda,and Makoto Nagao 921
\nSolid Generation from Incorrect Orthographic Projections
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroshi Masuda and Masayuki Numao 928<\/p>\n
Technical Reports
\nA Comparison of the Efficiency of Three Kinds of the Expression
\nMethod of the Direct-Product Instantiation
\n\u2026\u2026\u2026\u2026\u2026\u2026Hidetaka Nambo,Haruhiko Kimura,Masakazu Miura,
\nShigeki Hirobayashi,and Sadaki Hirose 936<\/p>\n
Published Bimonthly by Japanese Society for Artificial Intelligence
\nOS Bldg.402,4-7 Tsukudomachi,Shinjuku-ku,Tokyo 162,Japan.<\/p>\n","protected":false},"excerpt":{"rendered":"
CONTENTS Commentary Research and Business\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.. Ryohei Nakatsu 809 Special Issue: \u201cReinforcement Learning\u201d Editor\u2019s Introduction to \u201cReinforcement Learning\u201d\u2026..Shigenobu Kobayashi 810 Reinforcement Learning Systems for Discrete Markov Decision Processes \u2026\u2026\u2026\u2026\u2026\u2026\u2026. Kazuteru Miyazaki and Shigenobu Kobayashi 811 Reinforcement Learning for Partially Observable Markov Decision Processes \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hajime Kimura and Leslie Pack Kaelbling 822 Research Issues on Real Robot Reinforcement Learning\u2026\u2026\u2026.Minoru Asada 831 Reinforcement Learning Applied to Power Plant Start-Up Scheduling \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Akimoto Kamiya 837 Reinforcement Learning for Multi-Agent Systems\u2026\u2026\u2026\u2026Sadayoshi Mikami 845 Survey Papers An Overview of Agent Technology and Its Applications\u2026\u2026\u2026.Yeun-Bae Kim 850 Technical Papers Improvement of Knowledge Processing Systems by Adding Equivalent Transformation Rules.. Mamiko Hatayama,Kiyoshi Akama,and Eiichi Miyamoto 861 Isomorphism of Actions […]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":1007055,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"categories":[11],"_links":{"self":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000262"}],"collection":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/comments?post=1000262"}],"version-history":[{"count":4,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000262\/revisions"}],"predecessor-version":[{"id":1008419,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000262\/revisions\/1008419"}],"up":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1007055"}],"wp:attachment":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/media?parent=1000262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/categories?post=1000262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}