3 citations · 11 across the 6 of their papers we have counts for
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cs.LG2021★ 3 cited
A general class of surrogate functions for stable and efficient reinforcement learning
Sharan Vaswani, Olivier Bachem, Simone Totaro +6
Common policy gradient methods rely on the maximization of a sequence of surrogate functions. In recent years, many such surrogate functions have been proposed, most without strong…
cs.LG2021★ 2 cited
Hierarchical Representation Learning for Markov Decision Processes
Lorenzo Steccanella, Simone Totaro, Anders Jonsson
In this paper we present a novel method for learning hierarchical representations of Markov decision processes. Our method works by partitioning the state space into subsets, and d…