statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	493
RU - Federazione Russa	368
SG - Singapore	154
IT - Italia	145
CN - Cina	99
HK - Hong Kong	55
BR - Brasile	48
FR - Francia	43
IE - Irlanda	39
SE - Svezia	39
VN - Vietnam	34
DE - Germania	33
GB - Regno Unito	33
KR - Corea	28
FI - Finlandia	26
IN - India	10
NL - Olanda	9
TR - Turchia	8
CA - Canada	7
BD - Bangladesh	6
ES - Italia	6
ID - Indonesia	6
IS - Islanda	6
JP - Giappone	6
MX - Messico	6
AR - Argentina	5
AU - Australia	5
PL - Polonia	5
BJ - Benin	4
CO - Colombia	4
ZA - Sudafrica	4
AT - Austria	3
EC - Ecuador	3
KG - Kirghizistan	3
LT - Lituania	3
MY - Malesia	3
TG - Togo	3
CH - Svizzera	2
DK - Danimarca	2
IL - Israele	2
MA - Marocco	2
PK - Pakistan	2
SA - Arabia Saudita	2
UA - Ucraina	2
VE - Venezuela	2
BN - Brunei Darussalam	1
CZ - Repubblica Ceca	1
DO - Repubblica Dominicana	1
DZ - Algeria	1
EG - Egitto	1
IQ - Iraq	1
KE - Kenya	1
KZ - Kazakistan	1
LA - Repubblica Popolare Democratica del Laos	1
MK - Macedonia	1
OM - Oman	1
PA - Panama	1
PE - Perù	1
PH - Filippine	1
SK - Slovacchia (Repubblica Slovacca)	1
TW - Taiwan	1
UY - Uruguay	1
UZ - Uzbekistan	1
Totale	1.786

Nome	#
Enhancing Exploration and Safety in Deep Reinforcement Learning	224
Explaining the influence of prior knowledge on POMCP policies	162
Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities	140
Curriculum learning for safe mapless navigation	130
Discrete Deep Reinforcement Learning for Mapless Navigation	112
Formal Verification of Neural Networks for Safety-Critical Tasks in Deep Reinforcement Learning	110
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation	104
Learning environment properties in Partially Observable Monte Carlo Planning	102
Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator	97
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery	97
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation	94
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees	93
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots	89
Exploring Safer Behaviors for Deep Reinforcement Learning	88
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation	88
Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search	85
Totale	1.815

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	15	0	0	0	0	0	6	0	0	0	0	5	4
2021/2022	94	2	5	1	2	5	1	2	5	35	17	6	13
2022/2023	242	9	6	23	26	21	66	1	29	34	5	7	15
2023/2024	158	11	18	11	15	9	22	11	7	4	20	26	4
2024/2025	467	23	21	36	58	13	31	46	68	43	29	34	65
2025/2026	816	74	76	71	212	324	59	0	0	0	0	0	0
Totale													1.815

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