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Publication search results
found 13 matches
- 2024
- Luca Neri, Ivan Corazza, Matt T. Oberdier, Jessica Lago, Ilaria Gallelli, Arrigo F. G. Cicero, Igor Diemberger, Alessandro Orro, Amir Beker, Nazareno Paolocci, Henry R. Halperin, Claudio Borghi:
Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment. J. Medical Syst. 48(1): 57 (2024) - Igor Halperin:
Distributional offline continuous-time reinforcement learning with neural physics-informed PDEs (SciPhy RL for DOCTR-L). Neural Comput. Appl. 36(9): 4643-4659 (2024) - 2023
- Vadim Zlotnikov, Jiayu Liu, Igor Halperin, Fei He, Lisa Huang:
Model-Free Market Risk Hedging Using Crowding Networks. CoRR abs/2306.08105 (2023) - 2022
- Igor Halperin, Jiayu Liu, Xiao Zhang:
Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations. CoRR abs/2201.01874 (2022) - 2021
- Igor Halperin:
Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L). CoRR abs/2104.01040 (2021) - 2020
- Matthew Dixon, Igor Halperin:
G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. CoRR abs/2002.10990 (2020) - Igor Halperin:
Non-Equilibrium Skewness, Market Crises, and Option Pricing: Non-Linear Langevin Model of Markets with Supersymmetry. CoRR abs/2011.01417 (2020) - 2018
- Igor Halperin:
The QLBS Q-Learner Goes NuQLear: Fitted Q Iteration, Inverse RL, and Option Portfolios. CoRR abs/1801.06077 (2018) - Igor Halperin, Ilya Feldshteyn:
Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy. CoRR abs/1805.06126 (2018) - 2017
- Igor Halperin:
QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds. CoRR abs/1712.04609 (2017) - Igor Halperin:
Inverse Reinforcement Learning for Marketing. CoRR abs/1712.04612 (2017) - 2015
- Ronald van Zon, Diego Escudero, Dan Halperin, Igor Jovanovic, Raffaelle Vito, Rodrigo I. Silveira, Kevin Buchin:
Real-time collision detection for multiple packaging robots using monotonicity of configuration subspaces. CASE 2015: 1638-1643 - 2010
- Yonit Halperin, Chaim Linhart, Igor Ulitsky, Ron Shamir:
Discovering Transcriptional Modules by Combined Analysis of Expression Profiles and Regulatory Sequences. RECOMB 2010: 578-579
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