Entropy regularization has been extensively adopted to improve the efficiency, the stability, and the convergence of … algorithms in reinforcement learning. This paper analyzes both quantitatively and qualitatively the impact of entropy … entropy regularization yields time-dependent policies and, furthermore, helps stabilizing and accelerating convergence to the …

” types, and who faces a succession of short-lived players. We use entropy-based arguments both to establish a lower bound on …

outcome of human's decision-making obeys the principle of the maximum entropy …