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Riccardo Venturelli

1 paper hereh-index 00 citations0 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2026

Reusing Past Samples in Proximal Policy Optimization: When and How Does It Help?

Alessandro Montenegro, Riccardo Venturelli, Marco Mussi +2

Among on-policy deep reinforcement learning methods, Proximal Policy Optimization (PPO) has become the de facto standard, due to its consistently strong empirical performance acros…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.