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Ashwin Rao

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Stochastic Control/Reinforcement Learning for Optimal Market Making
Adaptive Multistage Sampling Algorithm: The Origins of Monte Carlo Tree Search
Fundamental Theorems of Asset Pricing
Evolutionary Strategies as an alternative to Reinforcement Learning
Principles of Mathematical Economics applied to a Physical-Stores Retail Business
Understanding Dynamic Programming through Bellman Operators
Stochastic Control of Optimal Trade Order Execution
A.I. for Dynamic Decisioning under Uncertainty (for real-world problems in Retail and Financial Trading)
Overview of Stochastic Calculus Foundations
Risk-Aversion, Risk-Premium and Utility Theory
Value Function Geometry and Gradient TD
Stanford CME 241 - Reinforcement Learning for Stochastic Control Problems in Finance
HJB Equation and Merton's Portfolio Problem
Policy Gradient Theorem
A Quick and Terse Introduction to Efficient Frontier Mathematics