引用次数
引用: 350
H-指数: 8
I10-指数 : 7
出版物: 25
Two geometric input transformation methods for fast online reinforcement learning with neural nets
Richard S. Sutton , Banafsheh Rafiee , Huizhen Yu , Sina Ghiassian
arXiv: Learning
8
2018
Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots
Richard S. Sutton , Adam White , Banafsheh Rafiee , Sina Ghiassian
adaptive agents and multi-agents systems 332 -340
1
2019
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Sina Ghiassian , Yat Long Lo
arXiv: Artificial Intelligence
5
2019
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
Adam White , Banafsheh Rafiee , Sina Ghiassian , Yat Long Lo
arXiv: Learning
22
2020
Gradient Temporal-Difference Learning with Regularized Corrections
Adam White , Martha White , Sina Ghiassian , Andrew Patterson
international conference on machine learning 1 3524 -3534
3
2020
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism
Sina Ghiassian , Russell Greiner , Ping Jin , Matthew R. G. Brown
PLOS ONE 11 ( 12) e0166934
42
2016
Learning to classify psychiatric disorders based on fMR images: Autism vs healthy and ADHD vs healthy
Sina Ghiassian , Russell Greiner , Ping Jin , M Brown
Proceedings of 3rd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging 3 99 -99
32
2013
Soft Preference Optimization: Aligning Language Models to Expert Distributions
Arsalan Sharifnassab , Sina Ghiassian , Saber Salehkaleybar , Surya Kanoria
arXiv preprint arXiv:2405.00747
2024
Online off-policy prediction
Sina Ghiassian , Andrew Patterson , Martha White , Richard S Sutton
arXiv preprint arXiv:1811.02597
30
2018
On the Importance of Uncertainty in Decision-Making with Large Language Models
Nicolò Felicioni , Lucas Maystre , Sina Ghiassian , Kamil Ciosek
arXiv preprint arXiv:2404.02649
2024
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning
Banafsheh Rafiee , Zaheer Abbas , Sina Ghiassian , Raksha Kumaraswamy
Adaptive Behavior 31 3 -19
8
2023
A first empirical study of emphatic temporal difference learning
Sina Ghiassian , Banafsheh Rafiee , Richard S Sutton
arXiv preprint arXiv:1705.04185
11
2017
An empirical comparison of off-policy prediction learning algorithms on the collision task
Sina Ghiassian , Richard S Sutton
arXiv preprint arXiv:2106.00922
6
2021
An empirical comparison of off-policy prediction learning algorithms in the four rooms environment
Sina Ghiassian , Richard S Sutton
arXiv preprint arXiv:2109.05110
5
2021
Does the Adam Optimizer Exacerbate Catastrophic Forgetting?
Dylan R Ashley , Sina Ghiassian , Richard S Sutton
arXiv preprint arXiv:2102.07686
4
2021
Should All Temporal Difference Learning Use Emphasis?
Xiang Gu , Sina Ghiassian , Richard S Sutton
arXiv preprint arXiv:1903.00194
4
2019
Does Standard Backpropagation Forget Less Catastrophically Than Adam?
Dylan R Ashley , Sina Ghiassian , Richard S Sutton
arXiv preprint arXiv:2102.07686
2
2021
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee , Sina Ghiassian , Jun Jin , Richard Sutton
Conference on Lifelong Learning Agents 703 -714
1
2023
In-context Exploration-Exploitation for Reinforcement Learning
Zhenwen Dai , Federico Tomasi , Sina Ghiassian
arXiv preprint arXiv:2403.06826
2024
Investigating Objectives for Off-policy Value Estimation in Reinforcement Learning
Andrew Patterson , Sina Ghiassian , D Gupta , A White
Preparation
1
2021