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Sina Ghiassian
Sina Ghiassian
Research Scientist - Spotify
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Using functional or structural magnetic resonance images and personal characteristic data to identify ADHD and autism
S Ghiassian, R Greiner, P Jin, MRG Brown
PloS one 11 (12), e0166934, 2016
1082016
Gradient temporal-difference learning with regularized corrections
S Ghiassian, A Patterson, S Garg, D Gupta, A White, M White
International Conference on Machine Learning, 3524-3534, 2020
432020
Improving performance in reinforcement learning by breaking generalization in neural networks
S Ghiassian, B Rafiee, YL Lo, A White
arXiv preprint arXiv:2003.07417, 2020
332020
Learning to classify psychiatric disorders based on fMR images: Autism vs healthy and ADHD vs healthy
S Ghiassian, R Greiner, P Jin, M Brown
Proceedings of 3rd NIPS Workshop on Machine Learning and Interpretation in …, 2013
322013
Online off-policy prediction
S Ghiassian, A Patterson, M White, RS Sutton, A White
arXiv preprint arXiv:1811.02597, 2018
302018
A generalized projected bellman error for off-policy value estimation in reinforcement learning
A Patterson, A White, M White
Journal of Machine Learning Research 23 (145), 1-61, 2022
162022
A first empirical study of emphatic temporal difference learning
S Ghiassian, B Rafiee, RS Sutton
arXiv preprint arXiv:1705.04185, 2017
112017
Overcoming catastrophic interference in online reinforcement learning with dynamic self-organizing maps
YL Lo, S Ghiassian
arXiv preprint arXiv:1910.13213, 2019
82019
Two geometric input transformation methods for fast online reinforcement learning with neural nets
S Ghiassian, H Yu, B Rafiee, RS Sutton
arXiv preprint arXiv:1805.07476, 2018
82018
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning
B Rafiee, Z Abbas, S Ghiassian, R Kumaraswamy, RS Sutton, EA Ludvig, ...
Adaptive behavior 31 (1), 3-19, 2023
72023
An empirical comparison of off-policy prediction learning algorithms on the collision task
S Ghiassian, RS Sutton
arXiv preprint arXiv:2106.00922, 2021
62021
An empirical comparison of off-policy prediction learning algorithms in the four rooms environment
S Ghiassian, RS Sutton
arXiv preprint arXiv:2109.05110, 2021
52021
Prediction in intelligence: An empirical comparison of off-policy algorithms on robots
B Rafiee, S Ghiassian, A White, RS Sutton
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
52019
Does the Adam Optimizer Exacerbate Catastrophic Forgetting?
DR Ashley, S Ghiassian, RS Sutton
arXiv preprint arXiv:2102.07686, 2021
42021
Should All Temporal Difference Learning Use Emphasis?
X Gu, S Ghiassian, RS Sutton
arXiv preprint arXiv:1903.00194, 2019
42019
Does Standard Backpropagation Forget Less Catastrophically Than Adam?
DR Ashley, S Ghiassian, RS Sutton
arXiv preprint arXiv:2102.07686, 2021
22021
Importance Sampling Placement in Off-Policy Temporal-Difference Methods
E Graves, S Ghiassian
arXiv preprint arXiv:2203.10172, 2022
12022
Online off-policy prediction
S Ghiassian
12022
Investigating Objectives for Off-policy Value Estimation in Reinforcement Learning
A Patterson, S Ghiassian, D Gupta, A White, M White
Preparation, 2021
12021
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism
S Ghiassian
12014
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