{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T13:10:10Z","timestamp":1746364210919,"version":"3.40.4"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781889"},{"type":"electronic","value":"9783031781896"}],"license":[{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78189-6_6","type":"book-chapter","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T08:13:08Z","timestamp":1733818388000},"page":"80-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Plasticity Driven Knowledge Transfer for\u00a0Continual Deep Reinforcement Learning in\u00a0Financial Trading"],"prefix":"10.1007","author":[{"given":"Dimitrios","family":"Katsikas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaos","family":"Passalis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,11]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","unstructured":"Avramelou, L., Nousi, P., Passalis, N., Tefas, A.: Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238, 121849 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.121849, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417423023515","DOI":"10.1016\/j.eswa.2023.121849"},{"issue":"3","key":"6_CR2","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1109\/TNNLS.2016.2522401","volume":"28","author":"Y Deng","year":"2017","unstructured":"Deng, Y., Bao, F., Kong, Y., Ren, Z., Dai, Q.: Deep direct reinforcement learning for financial signal representation and trading. IEEE Trans. Neural Netw. Learn. Syst. 28(3), 653\u2013664 (2017). https:\/\/doi.org\/10.1109\/TNNLS.2016.2522401","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"383","DOI":"10.2307\/2325486","volume":"25","author":"E Fama","year":"1970","unstructured":"Fama, E.: Efficient capital markets: a review of theory and empirical work. J. Finance 25, 383\u2013417 (1970)","journal-title":"J. Finance"},{"key":"6_CR4","unstructured":"Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. In: Proceedings of the International Conference on Machine Learning, pp. 1126\u20131135 (2017)"},{"key":"6_CR5","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Isele, D., Cosgun, A.: Selective experience replay for lifelong learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.11595"},{"issue":"7","key":"6_CR7","first-page":"2469","volume":"31","author":"Y Keneshloo","year":"2019","unstructured":"Keneshloo, Y., Shi, T., Ramakrishnan, N., Reddy, C.K.: Deep reinforcement learning for sequence-to-sequence models. IEEE Trans. Neural Netw. Learn. Syst. 31(7), 2469\u20132489 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Khetarpal, K., Riemer, M., Rish, I., Precup, D.: Towards continual reinforcement learning: a review and perspectives (2022)","DOI":"10.1613\/jair.1.13673"},{"issue":"13","key":"6_CR9","doi-asserted-by":"publisher","first-page":"3521","DOI":"10.1073\/pnas.1611835114","volume":"114","author":"J Kiripatrick","year":"2017","unstructured":"Kiripatrick, J., et al.: Overcoming catastrophic forgetting in neural networks. Proc. Natl. Acad. Sci. 114(13), 3521\u20133526 (2017). https:\/\/doi.org\/10.1073\/pnas.1611835114","journal-title":"Proc. Natl. Acad. Sci."},{"key":"6_CR10","unstructured":"Lillicrap, T.P., et al.: Continuous control with deep reinforcement learning (2019)"},{"issue":"6","key":"6_CR11","doi-asserted-by":"publisher","first-page":"2063","DOI":"10.1109\/TNNLS.2018.2790388","volume":"29","author":"M Mahmud","year":"2018","unstructured":"Mahmud, M., Kaiser, M.S., Hussain, A., Vassanelli, S.: Applications of deep learning and reinforcement learning to biological data. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2063\u20132079 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Mermillod, M., Bugaiska, A., Bonin, P.: The stability-plasticity dilemma: investigating the continuum from catastrophic forgetting to age-limited learning effects. Front. Psychol. 4 (2013)","DOI":"10.3389\/fpsyg.2013.00504"},{"key":"6_CR13","unstructured":"Mnih, V., et al.: Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602 (2013)"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Moody, J.E., Saffell, M.: Reinforcement learning for trading systems and portfolios. In: Knowledge Discovery and Data Mining (1998)","DOI":"10.1007\/978-1-4615-5625-1_10"},{"key":"6_CR15","doi-asserted-by":"publisher","unstructured":"Nguyen, T.H., Shirai, K., Velcin, J.: Sentiment analysis on social media for stock movement prediction. Expert Syst. Appl. 42(24), 9603\u20139611 (Nov2015). https:\/\/doi.org\/10.1016\/j.eswa.2015.07.052, https:\/\/hal.science\/hal-01203094","DOI":"10.1016\/j.eswa.2015.07.052"},{"key":"6_CR16","doi-asserted-by":"publisher","unstructured":"Oliveira, N., Cortez, P., Areal, N.: The impact of microblogging data for stock market prediction: Using twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Syst. Appl. 73 (12 2016). https:\/\/doi.org\/10.1016\/j.eswa.2016.12.036","DOI":"10.1016\/j.eswa.2016.12.036"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Passalis, N., Tefas, A.: Learning deep representations with probabilistic knowledge transfer. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 268\u2013284 (2018)","DOI":"10.1007\/978-3-030-01252-6_17"},{"issue":"5","key":"6_CR18","doi-asserted-by":"publisher","first-page":"2030","DOI":"10.1109\/TNNLS.2020.2995884","volume":"32","author":"N Passalis","year":"2020","unstructured":"Passalis, N., Tzelepi, M., Tefas, A.: Probabilistic knowledge transfer for lightweight deep representation learning. IEEE Trans. Neural Netw. Learn. Syst. 32(5), 2030\u20132039 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"6_CR19","doi-asserted-by":"publisher","first-page":"3966","DOI":"10.1287\/mnsc.2022.4353","volume":"68","author":"J P\u00e9nasse","year":"2022","unstructured":"P\u00e9nasse, J.: Understanding alpha decay. Manage. Sci. 68(5), 3966\u20133973 (2022)","journal-title":"Manage. Sci."},{"key":"6_CR20","unstructured":"Rusu, A.A., et al.: Policy distillation. arXiv preprint arXiv:1511.06295 (2015)"},{"key":"6_CR21","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"6_CR22","unstructured":"Schulman, J., Moritz, P., Levine, S., Jordan, M., Abbeel, P.: High-dimensional continuous control using generalized advantage estimation. arXiv preprint arXiv:1506.02438 (2015)"},{"issue":"5","key":"6_CR23","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1109\/TNNLS.2018.2869225","volume":"30","author":"DT Tran","year":"2018","unstructured":"Tran, D.T., Iosifidis, A., Kanniainen, J., Gabbouj, M.: Temporal attention-augmented bilinear network for financial time-series data analysis. IEEE Trans. Neural Netw. Learn. Syst. 30(5), 1407\u20131418 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"6_CR24","doi-asserted-by":"publisher","unstructured":"Tsantekidis, A., Passalis, N., Tefas, A., Kanniainen, J., Gabbouj, M., Iosifidis, A.: Forecasting stock prices from limit order book using convolutional neural networks. In: Proceedings of the IEEE International Conference on Business Informatics (2017). https:\/\/doi.org\/10.1109\/CBI.2017.23, iNT=sgn,\u201dTsantekidis, Avraam\u201d; IEEE International Conference on Business Informatics ; Conference date: 01-01-1900","DOI":"10.1109\/CBI.2017.23"},{"key":"6_CR25","doi-asserted-by":"publisher","unstructured":"Tsantekidis, A., Passalis, N., Toufa, A.S., Saitas\u00a0Zarkias, K., Chairistanidis, S., Tefas, A.: Price trailing for financial trading using deep reinforcement learning. IEEE Trans. Neural Netw. Learn. Syst. PP, 1\u201310 (06 2020). https:\/\/doi.org\/10.1109\/TNNLS.2020.2997523","DOI":"10.1109\/TNNLS.2020.2997523"},{"key":"6_CR26","unstructured":"Xu, J., Zhu, Z.: Reinforced continual learning. In: Advances in Neural Information Processing Systems, vol.\u00a031 (2018)"},{"issue":"11","key":"6_CR27","doi-asserted-by":"publisher","first-page":"3001","DOI":"10.1109\/tsp.2019.2907260","volume":"67","author":"Z Zhang","year":"2019","unstructured":"Zhang, Z., Zohren, S., Roberts, S.: DeepLOB: deep convolutional neural networks for limit order books. IEEE Trans. Signal Process. 67(11), 3001\u20133012 (2019). https:\/\/doi.org\/10.1109\/tsp.2019.2907260","journal-title":"IEEE Trans. Signal Process."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78189-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T12:30:17Z","timestamp":1746361817000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78189-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,11]]},"ISBN":["9783031781889","9783031781896"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78189-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,11]]},"assertion":[{"value":"11 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}