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Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
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Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach (2015)Risk-Sensitive and Robust Decision-Making…Robust Dynamic Programming (2005)Robust Dynamic ProgrammingRobust Control of Markov Decision Processes with Uncertain Transition Matrices (2005)Robust Control of Markov Deci…Measuring Market Risk (2005)Measuring Market RiskOptimization of conditional value-at-risk (2000)Optimization of conditional v…Coherent Measures of Risk (1999)Coherent Measures of RiskRisking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Bayes Adaptive Markov Decision Processes (2024)Risking your Tail: Modeling I…Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes (2024)Individual differences in tai…Leveraging Machine Learning to Automatically Derive Robust Decision Strategies from Imperfect Knowledge of the Real World (2022)Leveraging Machine Learning t…Recent Advances in Reinforcement Learning in Finance (2021)Recent Advances in Reinforcem…Answerable and Unanswerable Questions in Risk Analysis with Open‐World Novelty (2020)Answerable and Unanswerable Q…Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk (2018)Safety-Aware Optimal Control …Sequential Decision Making With Coherent Risk (2016)Sequential Decision Making Wi…The Pricing of Options and Corporate Liabilities (1973)Generalized autoregressive conditional heteroskedasticity (1986)Evaluating Value-at-Risk Models via Quantile Regression (2010)A comprehensive review of Value at Risk methodologies (2013)Metrics for evaluating the performance of machine learning based automated valuation models (2021)Risk, Ambiguity, and the Savage Axioms (1961)Maxmin expected utility with non-unique prior (1989)Robust Convex Optimization (1998)Options, Futures and Other Derivatives (2003)Sequential funding the venture project or not? A prospect consensus process with probabilistic hesitant fuzzy preference information (2018)Reinforcement learning with dynamic convex risk measures (2023)Markov decision processes with risk-sensitive criteria: an overview (2024)Conditional value-at-risk for general loss distributions (2002)On The Quantitative Definition of Risk (1981)Handbooks in operations research and management science (1989)Thinking, Fast and Slow (2011)PORTFOLIO SELECTION* (1952)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions (2022)Reinforcement Learning for Quantitative Trading (2023)The Evolution of Reinforcement Learning in Quantitative Finance: A Survey (2025)Bandit Processes and Dynamic Allocation Indices (1979)Information-seeking, curiosity, and attention: computational and neural mechanisms (2013)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Selected topics in robust convex optimization (2007)Robust Markov Decision Processes (2012)Quantifying Distributional Model Risk via Optimal Transport (2019)Modeling and Forecasting Realized Volatility (2003)Theory and Applications of Robust Optimization (2010)
this work references cited by second hop

References

  • 1999Coherent Measures of Risk8,849 cited
  • 2000Optimization of conditional value-at-risk6,711 cited
  • 2005Robust Control of Markov Decision Processes with Uncertain Transition Matrices700 cited
  • 2005Robust Dynamic Programming579 cited
  • 2005Measuring Market Risk489 cited

Cited by

  • 2021Recent Advances in Reinforcement Learning in Finance62 cited
  • 2016Sequential Decision Making With Coherent Risk62 cited
  • 2018Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk54 cited
  • 2020Answerable and Unanswerable Questions in Risk Analysis with Open‐World Novelty14 cited
  • 2024Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes5 cited
  • 2022Leveraging Machine Learning to Automatically Derive Robust Decision Strategies from Imperfect Knowledge of the Real World4 cited
  • 2024Risking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Bayes Adaptive Markov Decision Processes2 cited

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