Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 50 di 243
Titolo Data di pubblicazione Autori File
Parameterized Projected Bellman Operator 1-gen-2024 Metelli A. M.Restelli M. +
Interpretable linear dimensionality reduction based on bias-variance analysis 1-gen-2024 Bonetti P.Metelli A. M.Restelli M.
A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids 1-gen-2024 Mussi, MarcoPellegrino, LuigiPindaro, Oscar FrancescoRestelli, MarcelloTrovo, Francesco
Convex Reinforcement Learning in Finite Trials 1-gen-2023 Mirco MuttiRiccardo De SantiPiersilvio De BartolomeisMarcello Restelli
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP 1-gen-2023 Gianluca DrappoAlberto Maria MetelliMarcello Restelli
Switching Latent Bandits 1-gen-2023 Alessio RussoAlberto Maria MetelliMarcello Restelli
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 1-gen-2023 Gianluca DrappoAlberto Maria MetelliMarcello Restelli
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach 1-gen-2023 Poiani RiccardoNobili NicoleMetelli Alberto MariaRestelli Marcello
A Brief Guide to Multi-Objective Reinforcement Learning and Planning JAAMAS track 1-gen-2023 Restelli M. +
Tight Performance Guarantees of Imitator Policies with Continuous Actions 1-gen-2023 Maran DavideMetelli Alberto MariaRestelli Marcello
Simultaneously Updating All Persistence Values in Reinforcement Learning 1-gen-2023 Sabbioni LucaAl Daire LucaBisi LorenzoMetelli Alberto MariaRestelli Marcello
Dealer markets: A reinforcement learning mean field game approach 1-gen-2023 Bernasconi, MartinoVittori, E.Trovo, FrancescoRestelli, Marcello
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control 1-gen-2023 Likmeta AmarildoSacco MatteoMetelli Alberto MariaRestelli Marcello
Dynamical Linear Bandits 1-gen-2023 Mussi MarcoMetelli Alberto MariaRestelli Marcello
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation 1-gen-2023 Metelli Alberto MariaMeta SamueleRestelli Marcello
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization 1-gen-2023 Mutti M.Calderon J. F.Restelli M. +
Dynamic Pricing with Volume Discounts in Online Settings 1-gen-2023 M. MussiG. GenaltiA. NuaraF. Trovo'M. RestelliN. Gatti
Towards Theoretical Understanding of Inverse Reinforcement Learning 1-gen-2023 Metelli Alberto MariaLazzati FilippoRestelli Marcello
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems 1-gen-2023 Fedeli FilippoMetelli Alberto MariaTrovo' FrancescoRestelli Marcello
ARLO: A framework for Automated Reinforcement Learning 1-gen-2023 Mussi, MarcoMetelli, Alberto MariaTrovo, FrancescoRestelli, Marcello +
A Tale of Sampling and Estimation in Discounted Reinforcement Learning 1-gen-2023 Metelli Alberto MariaMutti MircoRestelli Marcello
Truncating Trajectories in Monte Carlo Reinforcement Learning 1-gen-2023 Poiani RiccardoMetelli Alberto MariaRestelli Marcello
Towards an AI-Based Framework for Autonomous Design and Construction: Learning from Reinforcement Learning Success in RTS Games 1-gen-2023 Restelli M.Causone F.Ruttico P. +
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes 1-gen-2023 Sabbioni L.Corda F.Restelli M.
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs 1-gen-2023 Riccardo PoianiAlberto Maria MetelliMarcello Restelli +
Risk-averse optimization of reward-based coherent risk measures 1-gen-2023 Bisi L.Restelli M. +
The EU-funded I3LUNG Project: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy 1-gen-2023 Prelaj, ArselaTrovo', FrancescoPedrocchi, Alessandra Laura GiuliaRestelli, MarcelloAmbrosini, EmiliaNuara, AlessandroMazzeo, Laura +
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice 1-gen-2023 Cesa-Bianchi, NicolòMetelli, Alberto MariaRestelli, Marcello +
A COMPUTER IMPLEMENTED METHOD FOR REAL TIME QUANTUM COMPILING BASED ON ARTIFICIAL INTELLIGENCE 1-gen-2022 L. MoroM. Restelli +
AI, Machine Learning e Data Mining 1-gen-2022 Andrea BonariniCesare AlippiMArco ColombettiFrancesco AmigoniGiacomo BoracchiVincenzo CagliotiGiuseppina GiniDaniele LoiaconoMatteo MatteucciMarcello RestelliManuel RoveriViola Schiaffonati
Advancing drought monitoring via feature extraction and multi-task learning algorithms 1-gen-2022 Matteo GiulianiPaolo BonettiAlberto Maria MetelliMarcello RestelliAndrea Castelletti
Challenging Common Assumptions in Convex Reinforcement Learning 1-gen-2022 Mutti, MircoDe Bartolomeis, PiersilvioRestelli, Marcello +
Trust Region Meta Learning for Policy Optimization 1-gen-2022 Occorso ManuelSabbioni LucaMetelli Alberto MariaRestelli Marcello
The Importance of Non-Markovianity in Maximum State Entropy Exploration 1-gen-2022 Mirco MuttiMarcello Restelli +
Off-Policy Evaluation with Deficient Support Using Side Information 1-gen-2022 Felicioni, NicolòFerrari Dacrema, MaurizioRestelli, MarcelloCremonesi, Paolo
Multi-Fidelity Best-Arm Identification 1-gen-2022 Poiani, RiccardoMetelli, Alberto MariaRestelli, Marcello
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach 1-gen-2022 Bernasconi de luca MartinoVittori E.Trovo' F.Restelli M.
Stochastic Rising Bandits 1-gen-2022 Alberto Maria MetelliFrancesco Trovo'Marcello Restelli +
Addressing Non-Stationarity in FX Trading with Online Model Selection of Offline RL Experts 1-gen-2022 Riva A.Bisi L.Liotet P.Sabbioni L.Vittori E.Restelli M. +
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning 1-gen-2022 Lorenzo BisiMarcello Restelli +
Online joint bid/daily budget optimization of Internet advertising campaigns 1-gen-2022 Nuara A.Trovo F.Gatti N.Restelli M.
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization 1-gen-2022 Liotet, PierreMetelli, Alberto MariaRestelli, Marcello +
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits 1-gen-2022 Mussi M.Genalti G.Trovo F.Nuara A.Gatti N.Restelli M.
Delayed Reinforcement Learning by Imitation 1-gen-2022 Pierre LiotetDavide MaranLorenzo BisiMarcello Restelli
Goal-Directed Planning via Hindsight Experience Replay 1-gen-2022 Lorenzo MoroAmarildo LikmetaEnrico PratiMarcello Restelli
Reward-Free Policy Space Compression for Reinforcement Learning 1-gen-2022 Mirco MuttiStefano Del ColMarcello Restelli
Machine Learning Using Real-World and Translational Data to Improve Treatment Selection for NSCLC Patients Treated with Immunotherapy 1-gen-2022 Prelaj, ArselaRestelli, MarcelloPedrocchi, Alessandra Laura GiuliaTrovo', Francesco +
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 1-gen-2022 Alberto Maria MetelliMarcello Restelli +
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management 1-gen-2022 Metelli A. M.Restelli M. +
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients 1-gen-2022 Prelaj, ArselaMiskovic, VanjaPesenti, MattiaMazzeo, LauraMarinacci, RobertoManglaviti, SaraRestelli, MarcelloTrovo, FrancescoPedrocchi, Alessandra Laura Giulia +
Mostrati risultati da 1 a 50 di 243
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile