MUTTI, MIRCO
 Distribuzione geografica
Continente #
NA - Nord America 174
EU - Europa 144
AS - Asia 70
SA - Sud America 28
AF - Africa 5
Totale 421
Nazione #
US - Stati Uniti d'America 174
SG - Singapore 49
IT - Italia 46
DE - Germania 30
BR - Brasile 27
FR - Francia 25
FI - Finlandia 15
ES - Italia 7
ID - Indonesia 6
HK - Hong Kong 4
IE - Irlanda 4
NL - Olanda 4
VN - Vietnam 4
CH - Svizzera 3
CI - Costa d'Avorio 3
CN - Cina 3
AT - Austria 2
GB - Regno Unito 2
GR - Grecia 2
RU - Federazione Russa 2
AR - Argentina 1
BJ - Benin 1
GE - Georgia 1
IQ - Iraq 1
LK - Sri Lanka 1
MA - Marocco 1
PH - Filippine 1
PL - Polonia 1
UA - Ucraina 1
Totale 421
Città #
Singapore 28
Chandler 23
Fairfield 18
Boardman 11
Frankfurt am Main 11
Milan 11
Woodbridge 10
Santa Clara 9
Seattle 9
Turku 9
Council Bluffs 8
Düsseldorf 7
Málaga 7
Ashburn 6
Jakarta 6
Wilmington 6
Helsinki 5
Houston 5
Amsterdam 4
Cambridge 4
Dong Ket 4
Dublin 4
Hong Kong 4
Munich 4
New York 4
Redmond 4
São Paulo 4
Abidjan 3
Ann Arbor 3
Bologna 3
Cavriago 3
Lauterbourg 3
Lawrence 3
Zurich 3
Athens 2
Bonndorf 2
Guastalla 2
Los Angeles 2
Monza 2
Novate Milanese 2
Nuremberg 2
Paderno Dugnano 2
Princeton 2
The Dalles 2
Turin 2
Alhandra 1
Américo Brasiliense 1
Araguari 1
Atlanta 1
Baghdad 1
Belo Jardim 1
Campinas 1
Campo Formoso Municipality 1
Capivari do Sul 1
Chekhov 1
Cinisello Balsamo 1
Colombo 1
Cotia 1
Cotonou 1
Divinópolis 1
Fes 1
Florianópolis 1
Forest City 1
Franco da Rocha 1
Guarulhos 1
Gunzenhausen 1
Hockessin 1
Ipatinga 1
Itapetinga 1
Lanús 1
Lappeenranta 1
Limeira 1
London 1
Manila 1
Medford 1
Palmas 1
Paris 1
Portsmouth 1
Praia Grande 1
Presidente Prudente 1
Ribeirão Preto 1
Roubaix 1
San Giorgio A Cremano 1
Senhor do Bonfim 1
Shenzhen 1
São José 1
São Roque 1
Tbilisi 1
Timóteo 1
Ust'-Ilimsk 1
Vaiano Cremasco 1
Wroclaw 1
Totale 315
Nome #
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies 102
Configurable Markov Decision Processes 67
A Tale of Sampling and Estimation in Discounted Reinforcement Learning 39
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate 36
The Importance of Non-Markovianity in Maximum State Entropy Exploration 29
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization 28
Challenging Common Assumptions in Convex Reinforcement Learning 27
Unsupervised Reinforcement Learning in Multiple Environments 25
Convex Reinforcement Learning in Finite Trials 21
How to explore with belief: state entropy maximization in POMDPs 17
Reward-Free Policy Space Compression for Reinforcement Learning 16
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms 16
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough 10
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach 6
EXPLOITING CAUSAL GRAPH PRIORS WITH POSTERIOR SAMPLING FOR REINFORCEMENT LEARNING 5
Totale 444
Categoria #
all - tutte 2.229
article - articoli 115
book - libri 0
conference - conferenze 2.114
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 4.458


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201 0 0 0 0 0 0 0 0 0 0 1 0
2020/202161 0 0 0 0 1 48 0 1 1 0 1 9
2021/202214 0 1 3 0 0 0 1 1 2 0 3 3
2022/202365 3 6 0 2 7 6 0 6 16 12 6 1
2023/202460 3 7 2 5 2 3 7 11 2 5 1 12
2024/2025226 7 6 6 7 28 5 15 21 31 26 74 0
Totale 444