NEWS
Institutional Subscription: Comprehensive Analyses to Enhance Your Global and Local Impact
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 221 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
Login
Register & Pricing
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Kavosh Asadi
Amazon Inc. - Seattle / United States
Engineering & Technology / Computer Science
AD Scientific Index ID: 4968447
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Co-Authors
Subject Leaders
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Kavosh Asadi's MOST POPULAR ARTICLES
1-)
Dive into deep learningP Chaudhari, R Fakoor, K Asadichapter 17 on Reinforcement Learning, 2023418*2023
2-)
Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learningJD Williams, K Asadi, G ZweigarXiv preprint arXiv:1702.03274, 20174162017
3-)
An Alternative Softmax Operator for Reinforcement Learning K Asadi, ML Littman Proceedings of the 34th International Conference on Machine Learning, 243-252, 2017 1662017
4-)
Lipschitz Continuity in Model-based Reinforcement LearningK Asadi, D Misra, ML LittmanProceedings of the 35th International Conference on Machine Learning, 20181852018
5-)
Deepmellow: removing the need for a target network in deep Q-learningS Kim, K Asadi, M Littman, G KonidarisProceedings of the Twenty Eighth International Joint Conference on …, 2019812019
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept