RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

METELLI, ALBERTO MARIA
 Distribuzione geografica
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Continente #
NA - Nord America 1.183
EU - Europa 926
AS - Asia 608
SA - Sud America 124
AF - Africa 25
OC - Oceania 5
Continente sconosciuto - Info sul continente non disponibili 2
Totale 2.873
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Nazione #
US - Stati Uniti d'America 1.155
IT - Italia 429
SG - Singapore 314
DE - Germania 123
BR - Brasile 115
CN - Cina 80
FR - Francia 80
FI - Finlandia 62
IE - Irlanda 45
ID - Indonesia 40
NL - Olanda 39
ES - Italia 38
GB - Regno Unito 35
HK - Hong Kong 35
JP - Giappone 30
VN - Vietnam 30
AT - Austria 23
CA - Canada 19
KR - Corea 18
SE - Svezia 16
BJ - Benin 7
CI - Costa d'Avorio 7
IN - India 7
JO - Giordania 7
TW - Taiwan 7
CH - Svizzera 6
MX - Messico 6
PL - Polonia 6
IQ - Iraq 5
IR - Iran 5
MA - Marocco 5
AU - Australia 4
BE - Belgio 4
KZ - Kazakistan 4
PH - Filippine 4
UA - Ucraina 4
UZ - Uzbekistan 4
AR - Argentina 3
CZ - Repubblica Ceca 3
GR - Grecia 3
PT - Portogallo 3
TR - Turchia 3
AE - Emirati Arabi Uniti 2
AZ - Azerbaigian 2
BD - Bangladesh 2
DZ - Algeria 2
EU - Europa 2
IL - Israele 2
KG - Kirghizistan 2
NP - Nepal 2
RU - Federazione Russa 2
ZA - Sudafrica 2
BO - Bolivia 1
CL - Cile 1
CM - Camerun 1
DO - Repubblica Dominicana 1
EC - Ecuador 1
EE - Estonia 1
HU - Ungheria 1
LT - Lituania 1
LV - Lettonia 1
MV - Maldive 1
NI - Nicaragua 1
NZ - Nuova Zelanda 1
PA - Panama 1
PE - Perù 1
PK - Pakistan 1
PY - Paraguay 1
QA - Qatar 1
SI - Slovenia 1
TN - Tunisia 1
VE - Venezuela 1
Totale 2.873
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Città #
Santa Clara 187
Chandler 178
Singapore 162
Milan 158
Boardman 62
Fairfield 61
Ashburn 54
Council Bluffs 53
Dublin 42
Helsinki 42
Jakarta 40
Frankfurt am Main 38
Amsterdam 31
Redmond 31
Seattle 29
Redwood City 28
Málaga 25
Wilmington 24
Lawrence 23
Düsseldorf 22
Hong Kong 20
New York 20
Los Angeles 19
Woodbridge 16
Cambridge 15
Lappeenranta 15
Medford 15
Dong Ket 13
São Paulo 13
Lauterbourg 12
Rome 12
Vienna 12
Ann Arbor 11
Beijing 11
Borgomanero 11
Nuremberg 10
Munich 9
San Jose 9
Monza 8
Pittsburgh 8
Princeton 8
Sant'ambrogio Di Torino 8
Shanghai 8
Abidjan 7
Amman 7
Cotonou 7
Houston 7
Turin 7
Washington 7
Bonndorf 6
Boulder 6
Boydton 6
Laives 6
Ottawa 6
Seoul 6
Toronto 6
Barcelona 5
Bareggio 5
Boston 5
Brescia 5
Busto Arsizio 5
Central District 5
Chiari 5
Chicago 5
London 5
Manaus 5
Paderno Dugnano 5
San Diego 5
Vicenza 5
Baghdad 4
Brasília 4
Changsha 4
Cuernavaca 4
Kwai Chung 4
Manila 4
Norwalk 4
Padova 4
Ribeirão Preto 4
Roubaix 4
Tashkent 4
Tianjin 4
Tokyo 4
Vedano al Lambro 4
Wendlingen 4
Belo Horizonte 3
Bresso 3
Brussels 3
Cesena 3
Eindhoven 3
Florianópolis 3
Latina 3
Newark 3
Paris 3
Portsmouth 3
Rivoli 3
Shaoyang 3
Taipei 3
Villar Dora 3
Wroclaw 3
Yancheng 3
Totale 1.830
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Nome #
Optimistic Policy Optimization via Multiple Importance Sampling 145
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP 131
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters 130
On the use of the policy gradient and Hessian in inverse reinforcement learning 120
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving 112
Feature Selection via Mutual Information: New Theoretical Insights 98
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems 91
Gradient-Aware Model-Based Policy Search 86
Compatible Reward Inverse Reinforcement Learning 69
Importance Sampling Techniques for Policy Optimization 67
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning 64
Configurable Markov Decision Processes 62
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions 62
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems 59
Policy optimization via importance sampling 59
Advancing drought monitoring via feature extraction 56
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 53
Switching Latent Bandits 53
Content-based approaches for cold-start job recommendations 53
Configurable Environments in Reinforcement Learning: An Overview 51
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 49
Provably Efficient Learning of Transferable Rewards 49
ARLO: A framework for Automated Reinforcement Learning 48
Stochastic Rising Bandits 48
A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators 46
Simultaneously Updating All Persistence Values in Reinforcement Learning 46
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization 45
Policy space identification in configurable environments 44
Advancing drought monitoring via feature extraction and multi-task learning algorithms 43
Policy Optimization as Online Learning with Mediator Feedback 43
Learning in Non-Cooperative Configurable Markov Decision Processes 40
Truncating Trajectories in Monte Carlo Reinforcement Learning 38
Best Arm Identification for Stochastic Rising Bandits 37
Autoregressive Bandits 37
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs 36
A Tale of Sampling and Estimation in Discounted Reinforcement Learning 36
State and Action Factorization in Power Grids 35
Towards Theoretical Understanding of Inverse Reinforcement Learning 35
Trust Region Meta Learning for Policy Optimization 34
Dynamical Linear Bandits 33
Multi-Fidelity Best-Arm Identification 33
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control 30
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management 30
Safe policy iteration: A monotonically improving approximate policy iteration approach 30
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 29
Reinforcement Learning in Configurable Continuous Environments 28
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds 27
Learning Optimal Deterministic Policies with Stochastic Policy Gradients 26
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning 26
Tight Performance Guarantees of Imitator Policies with Continuous Actions 26
Exploiting environment configurability in reinforcement learning 24
Dissimilarity Bandits 20
Interpretable linear dimensionality reduction based on bias-variance analysis 20
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach 19
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice 17
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation 17
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms 15
Causal feature selection via transfer entropy 14
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning 10
Recent Advancements in Inverse Reinforcement Learning 10
Parameterized Projected Bellman Operator 9
Interpretable Machine Learning for Extreme Events detection: An application to droughts in the Po River Basin 9
The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning 8
Graph-Triggered Rising Bandits 8
Factored-Reward Bandits with Intermediate Observations 7
Switching Latent Bandits 7
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning 7
Online Learning with Off-Policy Feedback in Adversarial MDPs 7
Interpretable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis 6
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs 6
No-Regret Reinforcement Learning in Smooth MDPs 6
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs 6
(ϵ, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits 5
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach 5
Optimal multi-fidelity best-arm identification 5
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning 4
Transfer Learning for Dynamical Systems Models via Autoencoders and GANs 3
Totale 3.002
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Categoria #
all - tutte 13.329
article - articoli 3.744
book - libri 213
conference - conferenze 9.098
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 274
Totale 26.658
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202033 0 0 0 0 0 0 0 0 0 0 20 13
2020/2021296 13 5 59 16 31 19 8 14 17 28 19 67
2021/2022217 19 27 15 14 17 7 23 12 18 16 20 29
2022/2023424 37 46 19 55 40 35 2 32 58 49 38 13
2023/2024533 49 71 73 32 20 64 21 43 6 52 8 94
2024/20251.393 26 33 43 57 262 145 72 142 271 181 161 0
Totale 3.002