We study a dynamic mean-variance portfolio optimization problem under the reinforcement learning framework, where an entropy regularizer is introduced to induce exploration. Due to the time-inconsistency involved in a mean-variance criterion, we aim to learn an equilibrium strategy. Under an...

We develop a macroeconomic framework in which firms are large and have market power with respect to both products and labor. Each firm maximizes a share-weighted average of shareholder utilities, which makes the equilibrium independent of price normalization. In a one-sector economy, if returns...