statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	459
RU - Federazione Russa	166
IT - Italia	142
SG - Singapore	127
CN - Cina	94
HK - Hong Kong	55
BR - Brasile	45
FR - Francia	43
IE - Irlanda	39
SE - Svezia	39
DE - Germania	33
GB - Regno Unito	30
KR - Corea	28
FI - Finlandia	26
NL - Olanda	9
TR - Turchia	8
CA - Canada	7
IN - India	7
ID - Indonesia	6
JP - Giappone	6
AU - Australia	5
ES - Italia	5
MX - Messico	5
PL - Polonia	5
BD - Bangladesh	4
BJ - Benin	4
VN - Vietnam	4
ZA - Sudafrica	4
EC - Ecuador	3
KG - Kirghizistan	3
LT - Lituania	3
MY - Malesia	3
TG - Togo	3
AR - Argentina	2
AT - Austria	2
CH - Svizzera	2
CO - Colombia	2
DK - Danimarca	2
IL - Israele	2
PK - Pakistan	2
SA - Arabia Saudita	2
UA - Ucraina	2
BN - Brunei Darussalam	1
CZ - Repubblica Ceca	1
DZ - Algeria	1
IQ - Iraq	1
KE - Kenya	1
KZ - Kazakistan	1
LA - Repubblica Popolare Democratica del Laos	1
MA - Marocco	1
MK - Macedonia	1
OM - Oman	1
PA - Panama	1
PH - Filippine	1
SK - Slovacchia (Repubblica Slovacca)	1
TW - Taiwan	1
UZ - Uzbekistan	1
VE - Venezuela	1
Totale	1.454

Nome	#
Enhancing Exploration and Safety in Deep Reinforcement Learning	204
Explaining the influence of prior knowledge on POMCP policies	134
Curriculum learning for safe mapless navigation	111
Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities	111
Formal Verification of Neural Networks for Safety-Critical Tasks in Deep Reinforcement Learning	90
Discrete Deep Reinforcement Learning for Mapless Navigation	88
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation	88
Learning environment properties in Partially Observable Monte Carlo Planning	78
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery	78
Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator	77
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation	76
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees	72
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation	72
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots	69
Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search	68
Exploring Safer Behaviors for Deep Reinforcement Learning	67
Totale	1.483

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	21	0	0	0	0	6	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	484	74	76	71	212	51	0	0	0	0	0	0	0
Totale													1.483

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