Nils Kohring

Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets

Understanding and analyzing markets is crucial, yet analytical equilibrium solutions remain largely infeasible. Recent breakthroughs in equilibrium computation rely on zeroth-order policy gradient estimation. These approaches commonly suffer from high variance and are computationally expensive. The…