Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)

2 April 2021

Papers citing "Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)"

4 / 4 papers shown

Title
Tractable Representations for Convergent Approximation of Distributional HJB Equations Julie Alhosh Harley Wiltzer David Meger 82 1 0 07 Mar 2025
Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?Neural Information Processing Systems (NeurIPS), 2022 Chuwei Wang Shanda Li Di He Liwei Wang AI4CE PINN 501 34 0 04 Jun 2022
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Harley Wiltzer David Meger Marc G. Bellemare 150 15 0 24 May 2022
RLOP: RL Methods in Option Pricing from a Mathematical Perspective Ziheng Chen 73 0 0 11 May 2022