Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli +1

Learning in a lifelong setting, where the dynamics continually evolve, is a hard challenge for current reinforcement learning algorithms. Yet this would be a much needed feature fo…