Research: - I'm passionate about leveraging learning-based systems to address complex challenges. Currently, my research focuses on Large Language Models (LLMs) and their application in interactive decision-making, akin to Reinforcement Learning (RL) agents, while emphasizing the prevention of hallucinations. Additionally, I'm exploring how LLMs can enhance generalization in Lifelong learning.
+ I'm passionate about leveraging learning-based systems to address complex challenges. Currently, my research focuses on Large Language Models (LLMs) and their application in interactive decision-making, akin to Reinforcement Learning (RL) agents, while emphasizing online learning and adaptation. Additionally, I'm exploring how LLMs can enhance generalization in Lifelong learning.Bio: - I'm a research associate at Mila supervised by Sarath Chandar with close collaboration with Marc-Alexandre Côté. + I'm a PhD student at Mila supervised by Sarath Chandar with close collaboration with Marc-Alexandre Côté. I hold an MSc from the University of Alberta, where I conducted research with Martha White and Alona Fyshe, specializing in Offline Reinforcement Learning.
@@ -106,6 +106,11 @@ def get_paper_entry(entry_key, entry): # else: # s += f"""{entry.fields['title']}@InProceedings{hashemzadeh2021offline,
+ Offline-Online Reinforcement Learning: Extending Batch and Online RL
Maryam Hashemzadeh, Wesley Chung, Martha White
-, 2021
Paper /@InProceedings{hashemzadeh2021offline,
author = {Maryam Hashemzadeh and Wesley Chung and Martha White},
title = {Offline-Online Reinforcement Learning: Extending Batch and Online RL},
booktitle = {-},
year = {2021},
-}
Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea Martin, Alona Fyshe
EMNLP, 2020
Paper /@InProceedings{hashemzadeh2020language,
+}
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?
Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea Martin, Alona Fyshe
EMNLP, 2020
Paper /@InProceedings{hashemzadeh2020language,
author = {Maryam Hashemzadeh and Greta Kaufeld and Martha White and Andrea Martin and Alona Fyshe},
title = {From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?},
booktitle = {EMNLP},
year = {2020},
-}
Aurelio Cortese, Asuka Yamamoto, Maryam Hashemzadeh, Pradyumna Sepulveda, Mitsuo Kawato, Benedetto De Martino
Elife, 2021
Paper /@InProceedings{cortese2021value,
+}
Value signals guide abstraction during learning
Aurelio Cortese, Asuka Yamamoto, Maryam Hashemzadeh, Pradyumna Sepulveda, Mitsuo Kawato, Benedetto De Martino
Elife, 2021
Paper /@InProceedings{cortese2021value,
author = {Aurelio Cortese and Asuka Yamamoto and Maryam Hashemzadeh and Pradyumna Sepulveda and Mitsuo Kawato and Benedetto De Martino},
title = {Value signals guide abstraction during learning},
booktitle = {Elife},
year = {2021},
-}
Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi
Evolving Systems, Springer, 2020
Paper /@InProceedings{hashemzadeh2020clustering,
+}
Clustering subspace generalization to obtain faster reinforcement learning
Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi
Evolving Systems, Springer, 2020
Paper /@InProceedings{hashemzadeh2020clustering,
author = {Maryam Hashemzadeh and Reshad Hosseini and Majid Ahmadabadi},
title = {Clustering subspace generalization to obtain faster reinforcement learning},
booktitle = {Evolving Systems, Springer},
year = {2020},
-}
Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi
IEEE transactions on neural networks and learning systems, 2018
Paper /@InProceedings{hashemzadeh2018exploiting,
+}
Exploiting generalization in the subspaces for faster model-based reinforcement learning
Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi
IEEE transactions on neural networks and learning systems, 2018
Paper /@InProceedings{hashemzadeh2018exploiting,
author = {Maryam Hashemzadeh and Reshad Hosseini and Majid Ahmadabadi},
title = {Exploiting generalization in the subspaces for faster model-based reinforcement learning},
booktitle = {IEEE transactions on neural networks and learning systems},
@@ -87,7 +87,7 @@ Publications
- -->
+