19 citations · 40 across the 20 of their papers we have counts for
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cs.LG2018★ 19 cited
Policy Optimization via Importance Sampling
Alberto Maria Metelli, Matteo Papini, Francesco Faccio +1
Policy optimization is an effective reinforcement learning approach to solve continuous control tasks. Recent achievements have shown that alternating online and offline optimizati…
cs.AI2018★ 2 cited
Configurable Markov Decision Processes
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
In many real-world problems, there is the possibility to configure, to a limited extent, some environmental parameters to improve the performance of a learning agent. In this paper…