Papers

• Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions (2026)
  Daniel Bloch
  1.83
• Reinforcement Learning for Option Hedging: Static Implied-Volatility Fit versus Shortfall-Aware Performance (2026)
  Ziheng Chen et al.
  1.67
• Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging (2025)
  Zofia Bracha et al.
  1.50
• Generative Market Equilibrium Models with Stable Adversarial Learning via Reinforcement (2025)
  Anastasis Kratsios et al.
  1.17
• Insurance pricing on price comparison websites via reinforcement learning (2023)
  Tanut Treetanthiploet et al.
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• Hedging and Pricing Structured Products Featuring Multiple Underlying Assets (2024)
  Anil Sharma et al.
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