From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization
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[1] Yong Yu,et al. Universal Trading for Order Execution with Oracle Policy Distillation , 2021, AAAI.
[2] Luigi Troiano,et al. Adaptive stock trading strategies with deep reinforcement learning methods , 2020, Inf. Sci..
[3] Giorgio Lucarelli,et al. A deep Q-learning portfolio management framework for the cryptocurrency market , 2020, Neural Computing and Applications.
[4] Silvestr Stanko,et al. Risk-averse Distributional Reinforcement Learning: A CVaR Optimization Approach , 2019, IJCCI.
[5] Zhang Xiong,et al. AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks , 2019, KDD.
[6] B. Averbeck,et al. Reinforcement learning in artificial and biological systems , 2019, Nature Machine Intelligence.
[7] Pengqian Yu,et al. Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization , 2019, ArXiv.
[8] Henry Zhu,et al. Soft Actor-Critic Algorithms and Applications , 2018, ArXiv.
[9] Xuanjing Huang,et al. Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction , 2018, CIKM.
[10] Yanran Li,et al. Adversarial Deep Reinforcement Learning in Portfolio Management , 2018 .
[11] Herke van Hoof,et al. Addressing Function Approximation Error in Actor-Critic Methods , 2018, ICML.
[12] Sergey Levine,et al. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , 2018, ICML.
[13] Marc G. Bellemare,et al. Distributional Reinforcement Learning with Quantile Regression , 2017, AAAI.
[14] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[15] Marc G. Bellemare,et al. A Distributional Perspective on Reinforcement Learning , 2017, ICML.
[16] Zhengyao Jiang,et al. A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem , 2017, ArXiv.
[17] Ankur Taly,et al. Axiomatic Attribution for Deep Networks , 2017, ICML.
[18] Yue Zhang,et al. Knowledge-Driven Event Embedding for Stock Prediction , 2016, COLING.
[19] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[20] Tom Schaul,et al. Dueling Network Architectures for Deep Reinforcement Learning , 2015, ICML.
[21] Razvan Pascanu,et al. Policy Distillation , 2015, ICLR.
[22] Tom Schaul,et al. Prioritized Experience Replay , 2015, ICLR.
[23] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[24] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[25] Shie Mannor,et al. Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach , 2015, NIPS.
[26] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[27] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[28] S. T. A. Niaki,et al. Forecasting S&P 500 index using artificial neural networks and design of experiments , 2013 .
[29] Alberto Ferreira de Souza,et al. Prediction-based portfolio optimization model using neural networks , 2009, Neurocomputing.
[30] László Györfi,et al. Growth Optimal Investment with Transaction Costs , 2008, ALT.
[31] D. Harville. Matrix Algebra From a Statistician's Perspective , 1998 .
[32] J. Moody,et al. Performance functions and reinforcement learning for trading systems and portfolios , 1998 .
[33] Adam Tauman Kalai,et al. Universal Portfolios With and Without Transaction Costs , 1997, COLT '97.
[34] E. Fama,et al. EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .
[35] Bo An,et al. Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution* , 2021 .
[36] Nicholas G. Polson,et al. Deep learning for finance: deep portfolios: J. B. HEATON, N. G. POLSON AND J. H. WITTE , 2017 .
[37] Steven C. H. Hoi,et al. Online portfolio selection: A survey , 2012, CSUR.
[38] John V. Duca,et al. The rise and fall of subprime mortgages , 2007 .
[39] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[40] R. Rockafellar,et al. Optimization of conditional value-at risk , 2000 .