From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization

[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 .