Greedification operators for policy optimization: Investigating forward and reverse kl divergences
Approximate Policy Iteration (API) algorithms alternate between (approximate) policy
evaluation and (approximate) greedification. Many different approaches have been explored …
evaluation and (approximate) greedification. Many different approaches have been explored …
QC_SANE: Robust control in DRL using quantile critic with spiking actor and normalized ensemble
Recently introduced deep reinforcement learning (DRL) techniques in discrete-time have
resulted in significant advances in online games, robotics, and so on. Inspired from recent …
resulted in significant advances in online games, robotics, and so on. Inspired from recent …