activity
20202023
most citedModular zk-Rollup On-Demand

26 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023★ 26 cited

Modular zk-Rollup On-Demand

Thomas Lavaur, Jonathan Detchart, Jérôme Lacan +1

The rapid expansion of the use of blockchain-based systems often leads to a choice between customizable private blockchains and more secure, scalable and decentralized but expensiv…

cs.LG2021★ 1 cited

Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Offline estimation of the dynamical model of a Markov Decision Process (MDP) is a non-trivial task that greatly depends on the data available in the learning phase. Sometimes the d…

cs.LG2021★ 2 cited

Expert-Guided Symmetry Detection in Markov Decision Processes

Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel

Learning a Markov Decision Process (MDP) from a fixed batch of trajectories is a non-trivial task whose outcome's quality depends on both the amount and the diversity of the sample…

cs.LG2021★ 1 cited

An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

In Offline Model Learning for Planning and in Offline Reinforcement Learning, the limited data set hinders the estimate of the Value function of the relative Markov Decision Proces…

cs.LG2020

Offline Learning for Planning: A Summary

Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel

The training of autonomous agents often requires expensive and unsafe trial-and-error interactions with the environment. Nowadays several data sets containing recorded experiences…