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Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data.

, , and . AAMAS, page 1765-1767. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)

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Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data., , and . AAMAS, page 1765-1767. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)A Priori SNR Estimation Using Discriminative Non-Negative Matrix Factorization., , and . ICASSP, page 661-665. IEEE, (2018)Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement., , and . EUSIPCO, page 1-5. IEEE, (2019)SAMBA: Scenario-Adaptive Meta-Learning for mmWave Beam Alignment., , and . GLOBECOM (Workshops), page 1-6. IEEE, (2023)Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement., , and . ICASSP, page 7519-7523. IEEE, (2020)Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't., , and . IWAENC, page 1-5. IEEE, (2022)Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data., , and . Interspeech, page 2806-2810. ISCA, (2021)FACT: Fast and Active Coordinate Initialization for Vision-based Drone Swarms., , , , , , , and . CoRR, (2024)A hybrid approach to gender classification from face images., , and . ICPR, page 1-4. IEEE Computer Society, (2008)On the Effects of Speaker Gender in Emotion Recognition Training Data., , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)