Papers

• Continuous-Time Reinforcement Learning for Asset-Liability Management (2025)
  Yilie Huang
  3.04
• SNAPO: Smooth Neural Adjoint Policy Optimization for Optimal Control via Differentiable Simulation (2026)
  Dmitri Goloubentsev and Natalija Karpichina
  1.89
• Reinforcement Learning for Speculative Trading under Exploratory Framework (2026)
  Yun Zhao et al.
  1.83
• Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions (2026)
  Daniel Bloch
  1.83
• Robust Exploratory Stopping under Ambiguity in Reinforcement Learning (2025)
  Junyan Ye et al.
  1.50
• Distributional Reinforcement Learning on Path-dependent Options (2025)
  Ahmet Umur \"Ozsoy
  1.33
• Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions (2025)
  Shanyu Han et al.
  1.22
• Generative Market Equilibrium Models with Stable Adversarial Learning via Reinforcement (2025)
  Anastasis Kratsios et al.
  1.17
• Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets (2025)
  Liam Welsh et al.
  1.17
• Exploratory Optimal Stopping: A Singular Control Formulation (2024)
  Jodi Dianetti et al.
  0.78
• Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning (2023)
  Xiangyu Cui et al.
  —
• Reinforcement Learning for Jump-Diffusions, with Financial Applications (2024)
  Xuefeng Gao et al.
  —