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Igor Halperin
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 10
Top Topics
Reinforcement Learning
Asset Allocation
Partially Observable Domains
Option Pricing
Top Venues
CoRR
Neural Comput. Appl.
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Publications
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Igor Halperin
Distributional offline continuous-time reinforcement learning with neural physics-informed PDEs (SciPhy RL for DOCTR-L).
Neural Comput. Appl.
36 (9) (2024)
Vadim Zlotnikov
,
Jiayu Liu
,
Igor Halperin
,
Fei He
,
Lisa Huang
Model-Free Market Risk Hedging Using Crowding Networks.
CoRR
(2023)
Igor Halperin
,
Jiayu Liu
,
Xiao Zhang
Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations.
CoRR
(2022)
Igor Halperin
Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L).
CoRR
(2021)
Matthew Dixon
,
Igor Halperin
G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning.
CoRR
(2020)
Igor Halperin
Non-Equilibrium Skewness, Market Crises, and Option Pricing: Non-Linear Langevin Model of Markets with Supersymmetry.
CoRR
(2020)
Igor Halperin
The QLBS Q-Learner Goes NuQLear: Fitted Q Iteration, Inverse RL, and Option Portfolios.
CoRR
(2018)
Igor Halperin
,
Ilya Feldshteyn
Market Self-Learning of Signals, Impact and Optimal Trading: Invisible Hand Inference with Free Energy.
CoRR
(2018)
Igor Halperin
Inverse Reinforcement Learning for Marketing.
CoRR
(2017)
Igor Halperin
QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds.
CoRR
(2017)