Author

Yi-Jie Huang

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#machine learning Preprint Oct 2026

Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient

We develop a continuous-time deterministic policy gradient framework for reinforcement learning with reflected state dynamics, where the state process is governed by a controlled reflected stochastic differential equation on a hypercube. Under suitable regularity assumptions, we establish the connection between the val...

Li-Jun Bo, Yi-Jie Huang, Chen-Hao Lu · 0 citations

Preprint Sep 2026

Model-free Reinforcement Learning for Continuous Time and State: A Stochastic Maximum Principle Approach

This paper develops a model-free reinforcement learning (RL) algorithm based on the stochastic maximum principle for continuous-time stochastic control problems with continuous state and action spaces. For a parameterized Markovian policy, we establish the existence of the decoupling field for the adjoint backward stoc...

Li-Jun Bo, Yi-Jie Huang, Jing-Fei Wang · 0 citations