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Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior.

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Measuring the Leakage of Onion at the Root: A measurement of Tor's .onion pseudo-TLD in the global domain name system., and . WPES, page 173-180. ACM, (2014)Kindred domains: detecting and clustering botnet domains using DNS traffic., and . WWW (Companion Volume), page 707-712. ACM, (2014)Detection of largest possible repeated patterns in Indian audio songs using spectral features., , and . CCECE, page 1-5. IEEE, (2016)Understanding the domain registration behavior of spammers., , , , , , and . Internet Measurement Conference, page 63-76. ACM, (2013)MitM Attack by Name Collision: Cause Analysis and Vulnerability Assessment in the New gTLD Era., , , and . IEEE Symposium on Security and Privacy, page 675-690. IEEE Computer Society, (2016)Negative Caching of DNS Resolution Failures., , and . RFC, (December 2023)Roll, Roll, Roll your Root: A Comprehensive Analysis of the First Ever DNSSEC Root KSK Rollover., , , , , , and . Internet Measurement Conference, page 1-14. ACM, (2019)Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study., , , , , and . CCS, page 941-956. ACM, (2017)Information-Rich Manufacturing Metrology., , , , , , , , , and 1 other author(s). IPAS, volume 530 of IFIP Advances in Information and Communication Technology, page 145-157. Springer, (2018)Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior., , , and . CoRR, (2024)