Exploiting Distributional Temporal Difference Learning to Deal with Tail Risk
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[1] Peter Dayan,et al. Analytical Mean Squared Error Curves for Temporal Difference Learning , 1996, Machine Learning.
[2] Radoslaw Martin Cichy,et al. Deep Neural Networks as Scientific Models , 2019, Trends in Cognitive Sciences.
[3] Albert Corhay,et al. STATISTICAL PROPERTIES OF DAILY RETURNS: EVIDENCE FROM EUROPEAN STOCK MARKETS , 1994 .
[4] R. Rockafellar,et al. Optimization of conditional value-at risk , 2000 .
[5] Svetlozar T. Rachev,et al. Unconditional and Conditional Distributional Models for the Nikkei Index , 1998 .
[6] P. Franses,et al. A simple test for GARCH against a stochastic volatility , 2008 .
[7] Qiang Sun,et al. Adaptive Huber Regression , 2017, Journal of the American Statistical Association.
[8] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[9] Kevin Waugh,et al. DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker , 2017, ArXiv.
[10] Peter Dayan,et al. A Neural Substrate of Prediction and Reward , 1997, Science.
[11] Cyril Billet,et al. Emergent rogue wave structures and statistics in spontaneous modulation instability , 2015, Scientific Reports.
[12] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[13] Thomas Serre,et al. Models of visual cortex , 2013, Scholarpedia.
[14] John C. Bogle. The Index Mutual Fund: 40 Years of Growth, Change, and Challenge , 2016 .
[15] Haim Shalit,et al. Estimating stock market volatility using asymmetric GARCH models , 2008 .
[16] T. Bollerslev,et al. A CONDITIONALLY HETEROSKEDASTIC TIME SERIES MODEL FOR SPECULATIVE PRICES AND RATES OF RETURN , 1987 .
[17] Kevin Waugh,et al. DeepStack: Expert-level artificial intelligence in heads-up no-limit poker , 2017, Science.
[18] Svetlozar T. Rachev,et al. Approximation of skewed and leptokurtic return distributions , 2012 .
[19] Maciej Romaniuk,et al. A fuzzy approach to option pricing in a Levy process setting , 2013, Int. J. Appl. Math. Comput. Sci..
[20] José Dias Curto,et al. Modeling stock markets’ volatility using GARCH models with Normal, Student’s t and stable Paretian distributions , 2009 .
[21] P. Bossaerts,et al. Neural Mechanisms Behind Identification of Leptokurtic Noise and Adaptive Behavioral Response , 2016, Cerebral cortex.
[22] Efficient estimation of expected stock price returns , 2017 .