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ORCIDBanafsheh Rafiee
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2020 – today
- 2023
[j1]Banafsheh Rafiee
, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White:
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adapt. Behav. 31(1): 3-19 (2023)- [c3]Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White:
Auxiliary task discovery through generate-and-test. CoLLAs 2023: 703-714 - 2022
- [i6]Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White:
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR abs/2204.00565 (2022) - [i5]Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White:
Auxiliary task discovery through generate-and-test. CoRR abs/2210.14361 (2022) - 2020
- [c2]Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White:
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. AAMAS 2020: 438-446 - [i4]Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White:
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. CoRR abs/2003.07417 (2020) - [i3]Banafsheh Rafiee:
Testbeds for Reinforcement Learning. CoRR abs/2011.04590 (2020)
2010 – 2019
- 2019
- [c1]Banafsheh Rafiee, Sina Ghiassian, Adam White, Richard S. Sutton:
Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots. AAMAS 2019: 332-340 - 2018
- [i2]Sina Ghiassian, Huizhen Yu, Banafsheh Rafiee, Richard S. Sutton:
Two geometric input transformation methods for fast online reinforcement learning with neural nets. CoRR abs/1805.07476 (2018) - 2017
- [i1]Sina Ghiassian, Banafsheh Rafiee, Richard S. Sutton:
A First Empirical Study of Emphatic Temporal Difference Learning. CoRR abs/1705.04185 (2017)
Coauthor Index
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