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2020 – today
- 2024
[c4]Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain:
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval. ICLR 2024- [c3]Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miroslav Dudík, John Langford, Alex Lamb:
PcLast: Discovering Plannable Continuous Latent States. ICML 2024 - [i7]Lili Wu, Ben Evans, Riashat Islam
, Raihan Seraj, Yonathan Efroni, Alex Lamb:
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs. CoRR abs/2404.14552 (2024) - 2023
- [i6]Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain:
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval. CoRR abs/2310.01880 (2023) - [i5]Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miro Dudík, John Langford, Alex Lamb:
PcLast: Discovering Plannable Continuous Latent States. CoRR abs/2311.03534 (2023) - 2022
- [j1]Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan:
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems. J. Mach. Learn. Res. 23: 12:1-12:83 (2022) - [c2]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS 2022 - [i4]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. CoRR abs/2202.01914 (2022) - 2021
- [c1]Raihan Seraj, Jerome Le Ny, Aditya Mahajan:
Mean-field approximation for large-population beauty-contest games. CDC 2021: 5233-5238 - 2020
- [i3]Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan:
Approximate information state for approximate planning and reinforcement learning in partially observed systems. CoRR abs/2010.08843 (2020)
2010 – 2019
- 2019
- [i2]Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup:
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods. CoRR abs/1912.05104 (2019) - [i1]Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup:
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. CoRR abs/1912.05109 (2019)
Coauthor Index
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