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Conference and Workshop Papers
- 2024
[c4]Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith:
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making. ICML 2024- 2023
- [c3]Toryn Q. Klassen, Parand Alizadeh Alamdari, Sheila A. McIlraith:
Epistemic Side Effects: An AI Safety Problem. AAMAS 2023: 1797-1801 - 2022
- [c2]Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith:
Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning. AAMAS 2022: 18-26 - 2020
- [c1]Parand Alizadeh Alamdari, Guy Avni, Thomas A. Henzinger, Anna Lukina
:
Formal Methods with a Touch of Magic. FMCAD 2020: 138-147
Informal and Other Publications
- 2024
- [i4]Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson:
Jump Starting Bandits with LLM-Generated Prior Knowledge. CoRR abs/2406.19317 (2024) - 2023
- [i3]Parand Alizadeh Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith:
Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report). CoRR abs/2312.04772 (2023) - 2021
- [i2]Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith:
Be Considerate: Objectives, Side Effects, and Deciding How to Act. CoRR abs/2106.02617 (2021) - 2020
- [i1]Parand Alizadeh Alamdari, Guy Avni, Thomas A. Henzinger, Anna Lukina:
Formal Methods with a Touch of Magic. CoRR abs/2005.12175 (2020)
Coauthor Index
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