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

METELLI, ALBERTO MARIA
 Distribuzione geografica
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Continente #
AS - Asia 3.829
NA - Nord America 3.749
EU - Europa 3.213
SA - Sud America 659
AF - Africa 127
OC - Oceania 17
Continente sconosciuto - Info sul continente non disponibili 3
Totale 11.597
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Nazione #
US - Stati Uniti d'America 3.625
RU - Federazione Russa 1.497
SG - Singapore 1.340
CN - Cina 1.002
IT - Italia 744
BR - Brasile 543
VN - Vietnam 506
KR - Corea 275
JP - Giappone 235
FR - Francia 183
DE - Germania 173
HK - Hong Kong 135
GB - Regno Unito 113
NL - Olanda 99
FI - Finlandia 92
CA - Canada 80
SE - Svezia 64
ID - Indonesia 63
IN - India 63
ES - Italia 60
IE - Irlanda 51
MA - Marocco 51
AR - Argentina 49
BD - Bangladesh 48
AT - Austria 30
IQ - Iraq 30
PL - Polonia 27
CI - Costa d'Avorio 23
MX - Messico 23
TW - Taiwan 20
CH - Svizzera 16
EC - Ecuador 16
AU - Australia 15
JO - Giordania 14
UA - Ucraina 14
PK - Pakistan 12
PY - Paraguay 12
ZA - Sudafrica 11
CO - Colombia 10
TR - Turchia 10
UZ - Uzbekistan 10
VE - Venezuela 10
CZ - Repubblica Ceca 9
CL - Cile 8
KE - Kenya 8
AE - Emirati Arabi Uniti 7
BJ - Benin 7
DZ - Algeria 7
KZ - Kazakistan 7
NP - Nepal 7
PH - Filippine 7
IR - Iran 6
SA - Arabia Saudita 6
TH - Thailandia 6
BE - Belgio 5
DO - Repubblica Dominicana 5
GR - Grecia 5
JM - Giamaica 5
LT - Lituania 5
PE - Perù 5
EG - Egitto 4
ET - Etiopia 4
PT - Portogallo 4
RO - Romania 4
UY - Uruguay 4
AZ - Azerbaigian 3
KG - Kirghizistan 3
KW - Kuwait 3
LV - Lettonia 3
PA - Panama 3
TN - Tunisia 3
AL - Albania 2
AO - Angola 2
BO - Bolivia 2
EU - Europa 2
HN - Honduras 2
IL - Israele 2
LB - Libano 2
MD - Moldavia 2
MY - Malesia 2
NO - Norvegia 2
SI - Slovenia 2
BY - Bielorussia 1
CG - Congo 1
CM - Camerun 1
CR - Costa Rica 1
EE - Estonia 1
GE - Georgia 1
GT - Guatemala 1
HR - Croazia 1
HU - Ungheria 1
IS - Islanda 1
KH - Cambogia 1
MM - Myanmar 1
MT - Malta 1
MU - Mauritius 1
MV - Maldive 1
MZ - Mozambico 1
NC - Nuova Caledonia 1
NI - Nicaragua 1
Totale 11.587
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Città #
Ashburn 762
Singapore 729
San Jose 510
Milan 369
Hefei 291
Seoul 259
Santa Clara 217
Tokyo 202
Moscow 180
Chandler 178
Beijing 149
Boardman 141
Ho Chi Minh City 126
Dallas 124
Los Angeles 121
Council Bluffs 119
Hanoi 115
Hong Kong 106
Lauterbourg 85
The Dalles 84
New York 67
North Charleston 67
Frankfurt am Main 63
Kent 62
Fairfield 61
Helsinki 52
São Paulo 52
Amsterdam 50
Dublin 47
London 47
Jakarta 44
Da Nang 42
Buffalo 41
Stockholm 35
Las Vegas 34
Redmond 31
Seattle 31
Kenitra 29
Chicago 28
Redwood City 28
Haiphong 27
Málaga 27
Orem 25
Wilmington 24
Düsseldorf 23
Lappeenranta 23
Lawrence 23
Abidjan 22
Rome 22
Atlanta 21
Redondo Beach 21
Shanghai 21
Warsaw 20
Montreal 19
Ottawa 18
Guangzhou 17
Brooklyn 16
Rio de Janeiro 16
Tianjin 16
Vienna 16
Woodbridge 16
Cambridge 15
Medford 15
Amman 14
Houston 14
Munich 14
Taipei 14
Biên Hòa 13
Casablanca 13
Dong Ket 13
Nuremberg 13
Phoenix 13
Toronto 13
Turku 13
Changsha 12
Curitiba 12
Pincourt 12
Ann Arbor 11
Borgomanero 11
Boston 11
Brasília 11
Campinas 11
Monza 11
Belo Horizonte 10
Zurich 10
Baghdad 9
Chennai 9
Pittsburgh 9
Tashkent 9
Denver 8
Frisco 8
Hải Dương 8
Mexico City 8
Princeton 8
Ribeirão Preto 8
Sant'ambrogio Di Torino 8
Xi'an 8
Adelaide 7
Columbus 7
Cotonou 7
Totale 6.631
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Nome #
Stochastic Rising Bandits 291
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control 276
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP 243
On the use of the policy gradient and Hessian in inverse reinforcement learning 231
Optimistic Policy Optimization via Multiple Importance Sampling 208
Feature Selection via Mutual Information: New Theoretical Insights 204
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving 197
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems 195
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 184
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity 181
Configurable Markov Decision Processes 177
Gradient-Aware Model-Based Policy Search 174
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters 172
Best Arm Identification for Stochastic Rising Bandits 170
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 166
ARLO: A framework for Automated Reinforcement Learning 165
Switching Latent Bandits 163
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning 160
Autoregressive Bandits 159
Simultaneously Updating All Persistence Values in Reinforcement Learning 153
Advancing drought monitoring via feature extraction and multi-task learning algorithms 152
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems 152
Dynamical Linear Bandits 151
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs 149
Advancing drought monitoring via feature extraction 149
A Tale of Sampling and Estimation in Discounted Reinforcement Learning 148
Importance Sampling Techniques for Policy Optimization 146
Trust Region Meta Learning for Policy Optimization 145
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions 144
Graph-Triggered Rising Bandits 144
Switching Latent Bandits 143
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 142
Content-based approaches for cold-start job recommendations 140
Factored-Reward Bandits with Intermediate Observations 139
Truncating Trajectories in Monte Carlo Reinforcement Learning 137
A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators 137
Towards Theoretical Understanding of Inverse Reinforcement Learning 137
Compatible Reward Inverse Reinforcement Learning 136
Interpretable Machine Learning for Extreme Events detection: An application to droughts in the Po River Basin 133
Provably Efficient Learning of Transferable Rewards 133
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning 132
Sleeping Reinforcement Learning 131
Policy optimization via importance sampling 131
Policy Optimization as Online Learning with Mediator Feedback 131
Tight Performance Guarantees of Imitator Policies with Continuous Actions 131
Configurable Environments in Reinforcement Learning: An Overview 129
Learning Optimal Deterministic Policies with Stochastic Policy Gradients 127
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs 127
Causal feature selection via transfer entropy 127
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds 125
State and Action Factorization in Power Grids 125
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization 124
Transfer Learning for Dynamical Systems Models via Autoencoders and GANs 123
Exploiting environment configurability in reinforcement learning 117
(ϵ, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits 114
Dissimilarity Bandits 113
Multi-Fidelity Best-Arm Identification 113
Online Learning with Off-Policy Feedback in Adversarial MDPs 111
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach 110
Interpretable linear dimensionality reduction based on bias-variance analysis 110
No-Regret Reinforcement Learning in Smooth MDPs 103
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs 103
Safe policy iteration: A monotonically improving approximate policy iteration approach 102
Interpretable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis 101
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice 101
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation 101
Policy space identification in configurable environments 101
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management 100
Learning in Non-Cooperative Configurable Markov Decision Processes 98
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms 98
Position: Constants are Critical in Regret Bounds for Reinforcement Learning 97
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning 96
Reinforcement Learning in Configurable Continuous Environments 96
Parameterized Projected Bellman Operator 95
Factored-Reward Bandits with Intermediate Observations: Regret Minimization and Best Arm Identification 93
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning 92
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach 91
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback 90
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning 90
The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning 89
Optimal multi-fidelity best-arm identification 81
Achieving \mathcal{O}(\sqrt{T}) Regret in Average-Reward POMDPs with Known Observation Models 80
Learning Utilities from Demonstrations in Markov Decision Processes 68
Search or split: policy gradient with adaptive policy space 60
Power Grid Control with Graph-Based Distributed Reinforcement Learning 53
Policy Gradient Methods with Adaptive Policy Spaces 47
Trading-off Reward Maximization and Stability in Sequential Decision Making 46
Recent Advancements in Inverse Reinforcement Learning 41
Human-AI interaction in safety-critical network infrastructures 21
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits 21
Generalizing the Regret: an Analysis of Lower and Upper Bounds 20
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning 17
Catoni-Style Change Point Detection for Regret Minimization in Piecewise-Stationary Heavy-Tailed Bandits 16
AReS: A patient simulator to facilitate testing of automated anesthesia 12
Information Capacity Regret Bounds for Bandits with Mediator Feedback 11
Achieving Orp?Tq Regret in Average-Reward POMDPs with Known Observation Models 11
Minimax off-policy evaluation and learning with subgaussian and differentiable importance weighting 11
Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids 5
Imitation Learning as Return Distribution Matching 5
Online Compatible Reward Identification from Preference Feedback 5
Totale 11.745
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Categoria #
all - tutte 31.007
article - articoli 7.375
book - libri 419
conference - conferenze 22.738
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 475
Totale 62.014
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202167 0 0 0 0 0 0 0 0 0 0 0 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
2024/20252.140 26 33 43 57 262 145 72 142 271 181 442 466
2025/20268.010 1.327 1.291 624 732 440 389 1.106 385 596 705 210 205
Totale 11.759