Edward Mitby


Senior AI Engineer
Vanguard


2:05 PM Practical Applications of Reinforcement Learning in the Investment Optimization Process

  • A major challenge for quantitative/systematic investing is identifying regime change.
  • Reinforcement learning solves for an optimal policy based on dynamically updated states.
  • How can reinforcement learning be used to tactically allocate asset classes based on changing macro investment regimes?



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