{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T00:05:53Z","timestamp":1756339553921,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2212160","CAREER IIS-1943364"],"award-info":[{"award-number":["CNS-2212160","CAREER IIS-1943364"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA95502210069"],"award-info":[{"award-number":["FA95502210069"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,8]]},"DOI":"10.1145\/3718958.3750470","type":"proceedings-article","created":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T16:54:11Z","timestamp":1756313651000},"page":"264-278","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Hattrick: Solving Multi-Class TE using Neural Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0898-8353","authenticated-orcid":false,"given":"Abd AlRhman","family":"AlQiam","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3152-2151","authenticated-orcid":false,"given":"Zhuocong","family":"Li","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8907-3859","authenticated-orcid":false,"given":"Satyajeet Singh","family":"Ahuja","sequence":"additional","affiliation":[{"name":"Meta Platforms, Inc, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2816-9946","authenticated-orcid":false,"given":"Zhaodong","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2736-5694","authenticated-orcid":false,"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meta, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4825-4352","authenticated-orcid":false,"given":"Sanjay G.","family":"Rao","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3527-6192","authenticated-orcid":false,"given":"Bruno","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3085-0084","authenticated-orcid":false,"given":"Mohit","family":"Tawarmalani","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,8,27]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"GEANT network. http:\/\/geant3.archive.geant.net\/Network\/NetworkTopology\/pages\/home.aspx."},{"key":"e_1_3_2_1_2_1","first-page":"200","volume-title":"18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21)","author":"Abuzaid Firas","unstructured":"Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, and Peter Bailis. Contracting wide-area network topologies to solve flow problems quickly. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pages 175\u2013200. USENIX Association, April 2021."},{"key":"e_1_3_2_1_3_1","first-page":"102","volume-title":"Proceedings of the ACM SIGCOMM 2024 Conference, ACM SIGCOMM '24","author":"AlRhman AlQiam Abd","year":"2024","unstructured":"Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, and Mohit Tawarmalani. Transferable neural wan te for changing topologies. In Proceedings of the ACM SIGCOMM 2024 Conference, ACM SIGCOMM '24, page 86\u2013102, New York, NY, USA, 2024. Association for Computing Machinery."},{"key":"e_1_3_2_1_4_1","first-page":"281","volume-title":"Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '04\/Performance '04","author":"Applegate David","year":"2004","unstructured":"David Applegate, Lee Breslau, and Edith Cohen. Coping with network failures: Routing strategies for optimal demand oblivious restoration. In Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '04\/Performance '04, pages 270\u2013281, 2004."},{"key":"e_1_3_2_1_5_1","first-page":"324","volume-title":"Proceedings of ACM SIGCOMM","author":"Applegate David","year":"2003","unstructured":"David Applegate and Edith Cohen. Making intra-domain routing robust to changing and uncertain traffic demands: Understanding fundamental tradeoffs. In Proceedings of ACM SIGCOMM, pages 313\u2013324, 2003."},{"key":"e_1_3_2_1_6_1","volume-title":"Neural Information Processing Systems","author":"Applegate David L.","year":"2021","unstructured":"David L. Applegate, Mateo D'iaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, and Warren Schudy. Practical large-scale linear programming using primal-dual hybrid gradient. In Neural Information Processing Systems, 2021."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of ACM SIGCOMM","author":"Bogle Jeremy","year":"2019","unstructured":"Jeremy Bogle, Nikhil Bhatia, Manya Ghobadi, Ishai Menache, Nikolaj Bjorner, Asaf Valadarsky, and Michael Schapira. Teavar: Striking the right utilization-availability balance in wan traffic engineering. In Proceedings of ACM SIGCOMM, 2019."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366697"},{"key":"e_1_3_2_1_9_1","first-page":"362","volume-title":"14th USENIX Symposium on Networked Systems Design and Implementation (NSDI)","author":"Chang Yiyang","year":"2017","unstructured":"Yiyang Chang, Sanjay Rao, and Mohit Tawarmalani. Robust validation of network designs under uncertain demands and failures. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI), pages 347\u2013362, 2017."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1324215.1324236"},{"key":"e_1_3_2_1_11_1","first-page":"359","volume-title":"Proceedings of the ACM SIGCOMM 2023 Conference, ACM SIGCOMM '23","author":"Denis Marek","year":"2023","unstructured":"Marek Denis, Yuanjun Yao, Ashley Hatch, Qin Zhang, Chiun Lin Lim, Shuqiang Zhang, Kyle Sugrue, Henry Kwok, Mikel Jimenez Fernandez, Petr Lapukhov, Sandeep Hebbani, Gaya Nagarajan, Omar Baldonado, Lixin Gao, and Ying Zhang. Ebb: Reliable and evolvable express backbone network in meta. In Proceedings of the ACM SIGCOMM 2023 Conference, ACM SIGCOMM '23, page 346\u2013359, New York, NY, USA, 2023. Association for Computing Machinery."},{"key":"e_1_3_2_1_12_1","first-page":"108","volume-title":"Proceedings of ACM SIGCOMM","author":"Duffield N. G.","year":"1999","unstructured":"N. G. Duffield, Pawan Goyal, Albert Greenberg, Partho Mishra, K. K. Ramakrishnan, and Jacobus E. van der Merive. A flexible model for resource management in virtual private networks. In Proceedings of ACM SIGCOMM, pages 95\u2013108, 1999."},{"key":"e_1_3_2_1_13_1","first-page":"230","volume-title":"Proceedings of International Network Optimization Conference","author":"Fortz Bernard","year":"2003","unstructured":"Bernard Fortz and Mikkel Thorup. Robust optimization of OSPF\/IS-IS weights. In Proceedings of International Network Optimization Conference, pages 225\u2013230, 2003."},{"key":"e_1_3_2_1_14_1","first-page":"10","volume-title":"2021 IEEE\/ACM 29th International Symposium on Quality of Service (IWQOS)","author":"Geng Nan","year":"2021","unstructured":"Nan Geng, Mingwei Xu, Yuan Yang, Chenyi Liu, Jiahai Yang, Qi Li, and Shize Zhang. Distributed and adaptive traffic engineering with deep reinforcement learning. In 2021 IEEE\/ACM 29th International Symposium on Quality of Service (IWQOS), pages 1\u201310, 2021."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2013.131208"},{"key":"e_1_3_2_1_16_1","first-page":"26","volume-title":"Proceedings of ACM SIGCOMM","author":"Hong Chi-Yao","year":"2013","unstructured":"Chi-Yao Hong, Srikanth Kandula, Ratul Mahajan, Ming Zhang, Vijay Gill, Mohan Nanduri, and Roger Wattenhofer. Achieving high utilization with software-driven wan. In Proceedings of ACM SIGCOMM, pages 15\u201326, 2013."},{"key":"e_1_3_2_1_17_1","first-page":"87","volume-title":"Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication","author":"Hong Chi-Yao","year":"2018","unstructured":"Chi-Yao Hong, Subhasree Mandal, Mohammad Al-Fares, Min Zhu, Richard Alimi, Kondapa Naidu B., Chandan Bhagat, Sourabh Jain, Jay Kaimal, Shiyu Liang, Kirill Mendelev, Steve Padgett, Faro Rabe, Saikat Ray, Malveeka Tewari, Matt Tierney, Monika Zahn, Jonathan Zolla, Joon Ong, and Amin Vahdat. B4 and after: Managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined wan. In Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, pages 74\u201387, 2018."},{"key":"e_1_3_2_1_18_1","first-page":"14","volume-title":"Proceedings of ACM SIGCOMM","author":"Jain Sushant","year":"2013","unstructured":"Sushant Jain, Alok Kumar, Subhasree Mandal, Joon Ong, Leon Poutievski, Arjun Singh, Subbaiah Venkata, Jim Wanderer, Junlan Zhou, Min Zhu, Jon Zolla, Urs H\u00f6lzle, Stephen Stuart, and Amin Vahdat. B4: Experience with a globally-deployed software defined wan. In Proceedings of ACM SIGCOMM, pages 3\u201314, 2013."},{"key":"e_1_3_2_1_19_1","first-page":"125","volume-title":"Mohit Tawarmalani. Flexile: Meeting bandwidth objectives almost always. In Proceedings of the 18th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT '22","author":"Jiang Chuan","year":"2022","unstructured":"Chuan Jiang, Zixuan Li, Sanjay Rao, and Mohit Tawarmalani. Flexile: Meeting bandwidth objectives almost always. In Proceedings of the 18th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT '22, page 110\u2013125, New York, NY, USA, 2022. Association for Computing Machinery."},{"key":"e_1_3_2_1_20_1","first-page":"8","volume-title":"2021 International Conference on Computer Communications and Networks (ICCCN)","author":"Kakkavas Grigorios","year":"2021","unstructured":"Grigorios Kakkavas, Michail Kalntis, Vasileios Karyotis, and Symeon Papavassiliou. Future network traffic matrix synthesis and estimation based on deep generative models. In 2021 International Conference on Computer Communications and Networks (ICCCN), pages 1\u20138, 2021."},{"key":"e_1_3_2_1_21_1","volume-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7\u20139, 2015, Conference Track Proceedings","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7\u20139, 2015, Conference Track Proceedings, 2015."},{"issue":"1765","key":"e_1_3_2_1_22_1","first-page":"1775","article-title":"The internet topology zoo","volume":"29","author":"Knight Simon","year":"2011","unstructured":"Simon Knight, Hung Nguyen, Nickolas Falkner, Rhys Bowden, and Matthew Roughan. The internet topology zoo. IEEE Journal on Selected Areas in Communications, 29:1765 \u2013 1775, October 2011.","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of ACM SIGCOMM","author":"Kumar Alok","year":"2015","unstructured":"Alok Kumar, Sushant Jain, Uday Naik, Nikhil Kasinadhuni, Enrique Cauich Zermeno, C. Stephen Gunn, Jing Ai, Bj\u00f6rn Carlin, Mihai Amarandei-Stavila, Mathieu Robin, Aspi Siganporia, Stephen Stuart, and Amin Vahdat. Bwe: Flexible, hierarchical bandwidth allocation for wan distributed computing. In Proceedings of ACM SIGCOMM, 2015."},{"key":"e_1_3_2_1_24_1","first-page":"170","volume-title":"15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18)","author":"Kumar Praveen","year":"2018","unstructured":"Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiun Lin Lim, and Robert Soul\u00e9. Semi-oblivious traffic engineering: The road not taken. In 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18), pages 157\u2013170, 2018."},{"key":"e_1_3_2_1_25_1","first-page":"435","volume-title":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","author":"Liu Libin","year":"2020","unstructured":"Libin Liu, Li Chen, Hong Xu, and Hua Shao. Automated traffic engineering in sdwan: Beyond reinforcement learning. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 430\u2013435, 2020."},{"key":"e_1_3_2_1_26_1","first-page":"135","volume-title":"Proceedings of the ACM SIGCOMM 2024 Conference, ACM SIGCOMM '24","author":"Liu Ximeng","year":"2024","unstructured":"Ximeng Liu, Shizhen Zhao, Yong Cui, and Xinbing Wang. Figret: Fine-grained robustness-enhanced traffic engineering. In Proceedings of the ACM SIGCOMM 2024 Conference, ACM SIGCOMM '24, page 117\u2013135, New York, NY, USA, 2024. Association for Computing Machinery."},{"key":"e_1_3_2_1_27_1","first-page":"10","volume-title":"2020 IEEE International Conference on Big Data (Big Data)","author":"Mallick T.","year":"2020","unstructured":"T. Mallick, M. Kiran, B. Mohammed, and P. Balaprakash. Dynamic graph neural network for traffic forecasting in wide area networks. In 2020 IEEE International Conference on Big Data (Big Data), pages 1\u201310, Los Alamitos, CA, USA, dec 2020. IEEE Computer Society."},{"key":"e_1_3_2_1_28_1","first-page":"1958","volume-title":"21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)","author":"Namyar Pooria","year":"2024","unstructured":"Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, and Himanshu Raj. Solving Max-Min fair resource allocations quickly on large graphs. In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), pages 1937\u20131958, Santa Clara, CA, April 2024. USENIX Association."},{"key":"e_1_3_2_1_29_1","volume-title":"International Conference on Machine Learning (ICML)","author":"Navon Aviv","year":"2022","unstructured":"Aviv Navon, Idan Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, and Ethan Fetaya. Multi-task learning as a bargaining game. In International Conference on Machine Learning (ICML), 2022."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.10.006"},{"key":"e_1_3_2_1_31_1","volume-title":"H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alch\u00e9-Buc","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. Pytorch: An imperative style, high-performance deep learning library. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alch\u00e9-Buc, E. Fox, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 32. Curran Associates, Inc., 2019."},{"key":"e_1_3_2_1_32_1","first-page":"1581","volume-title":"20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)","author":"Perry Yarin","year":"2023","unstructured":"Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, and Aviv Tamar. DOTE: Rethinking (predictive) WAN traffic engineering. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), pages 1557\u20131581, Boston, MA, April 2023. USENIX Association."},{"key":"e_1_3_2_1_33_1","volume-title":"Flow, and Capacity Design in Communication and Computer Networks","author":"Pi\u00f3ro Michal","year":"2004","unstructured":"Michal Pi\u00f3ro and Deepankar Medhi. Routing, Flow, and Capacity Design in Communication and Computer Networks. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2004."},{"key":"e_1_3_2_1_34_1","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Sener Ozan","year":"2018","unstructured":"Ozan Sener and Vladlen Koltun. Multi-task learning as multi-objective optimization. In Advances in Neural Information Processing Systems (NeurIPS), 2018."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1111322.1111341"},{"key":"e_1_3_2_1_36_1","first-page":"191","volume-title":"Proceedings of the 16th ACM Workshop on Hot Topics in Networks, HotNets '17","author":"Valadarsky Asaf","year":"2017","unstructured":"Asaf Valadarsky, Michael Schapira, Dafna Shahaf, and Aviv Tamar. Learning to route. In Proceedings of the 16th ACM Workshop on Hot Topics in Networks, HotNets '17, page 185\u2013191, New York, NY, USA, 2017. Association for Computing Machinery."},{"key":"e_1_3_2_1_37_1","first-page":"110","volume-title":"Proceedings of ACM SIGCOMM","author":"Wang Hao","year":"2006","unstructured":"Hao Wang, Haiyong Xie, Lili Qiu, Yang Richard Yang, Yin Zhang, and Albert Greenberg. COPE: Traffic engineering in dynamic networks. In Proceedings of ACM SIGCOMM, pages 99\u2013110, 2006."},{"key":"e_1_3_2_1_38_1","first-page":"231","volume-title":"18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21)","author":"Xia Yiting","unstructured":"Yiting Xia, Ying Zhang, Zhizhen Zhong, Guanqing Yan, Chiun Lin Lim, Satyajeet Singh Ahuja, Soshant Bali, Alexander Nikolaidis, Kimia Ghobadi, and Manya Ghobadi. A social network under social distancing: Risk-Driven backbone management during COVID-19 and beyond. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pages 217\u2013231. USENIX Association, April 2021."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3062636"},{"key":"e_1_3_2_1_40_1","first-page":"393","volume-title":"Proceedings of the ACM SIGCOMM 2023 Conference, ACM SIGCOMM '23","author":"Xu Zhiying","year":"2023","unstructured":"Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, and Minlan Yu. Teal: Learning-accelerated optimization of wan traffic engineering. In Proceedings of the ACM SIGCOMM 2023 Conference, ACM SIGCOMM '23, page 378\u2013393, New York, NY, USA, 2023. Association for Computing Machinery."},{"key":"e_1_3_2_1_41_1","first-page":"1879","volume-title":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","author":"Xu Zhiyuan","unstructured":"Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, and Dejun Yang. Experience-driven networking: A deep reinforcement learning based approach. In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, page 1871\u20131879. IEEE Press, 2018."},{"key":"e_1_3_2_1_42_1","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Yu Tianhe","year":"2020","unstructured":"Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, and Chelsea Finn. Gradient surgery for multi-task learning. In Advances in Neural Information Processing Systems (NeurIPS), 2020."},{"key":"e_1_3_2_1_43_1","volume-title":"Network Protocols, 2005. ICNP 2005. 13th IEEE International Conference on","author":"Zhang C.","year":"2005","unstructured":"C. Zhang, Zihui Ge, J. Kurose, Y. Liu, and D. Towsley. Optimal routing with multiple traffic matrices tradeoff between average and worst case performance. In Network Protocols, 2005. ICNP 2005. 13th IEEE International Conference on, 2005."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000371"},{"key":"e_1_3_2_1_45_1","first-page":"271","volume-title":"Proceedings of the 2021 ACM SIGCOMM 2021 Conference, SIGCOMM '21","author":"Zhu Hang","year":"2021","unstructured":"Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, and Xin Jin. Network planning with deep reinforcement learning. In Proceedings of the 2021 ACM SIGCOMM 2021 Conference, SIGCOMM '21, page 258\u2013271, New York, NY, USA, 2021. Association for Computing Machinery."}],"event":{"name":"SIGCOMM '25: ACM SIGCOMM 2025 Conference","location":"S\u00e3o Francisco Convent Coimbra Portugal","acronym":"SIGCOMM '25","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"]},"container-title":["Proceedings of the ACM SIGCOMM 2025 Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3718958.3750470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T16:58:41Z","timestamp":1756313921000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3718958.3750470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,27]]},"references-count":45,"alternative-id":["10.1145\/3718958.3750470","10.1145\/3718958"],"URL":"https:\/\/doi.org\/10.1145\/3718958.3750470","relation":{},"subject":[],"published":{"date-parts":[[2025,8,27]]},"assertion":[{"value":"2025-08-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}