Optimal Investment and Entropy-Regularized Learning Under Stochastic Volatility Models with Portfolio Constraints

We study the problem of optimal portfolio selection under stochastic volatility within a continuous time reinforcement learning framework with portfolio constraints. Exploration is modeled through entropy-regularized relaxed controls, where the investor selects probability distributions over admissi