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Raihan Seraj
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
Bandit Problems
Exploration Exploitation
Reinforcement Learning
Text Retrieval
Top Venues
CoRR
CDC
J. Mach. Learn. Res.
ICLR
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Publications
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Qi Yan
,
Raihan Seraj
,
Jiawei He
,
Lili Meng
,
Tristan Sylvain
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval.
ICLR
(2024)
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
(2024)
Qi Yan
,
Raihan Seraj
,
Jiawei He
,
Lili Meng
,
Tristan Sylvain
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval.
CoRR
(2023)
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
(2023)
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 (2022)
Raihan Seraj
,
Jivitesh Sharma
,
Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems.
NeurIPS
(2022)
Raihan Seraj
,
Jivitesh Sharma
,
Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems.
CoRR
(2022)
Raihan Seraj
,
Jerome Le Ny
,
Aditya Mahajan
Mean-field approximation for large-population beauty-contest games.
CDC
(2021)
Jayakumar Subramanian
,
Amit Sinha
,
Raihan Seraj
,
Aditya Mahajan
Approximate information state for approximate planning and reinforcement learning in partially observed systems.
CoRR
(2020)
Riashat Islam
,
Raihan Seraj
,
Samin Yeasar Arnob
,
Doina Precup
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning.
CoRR
(2019)
Riashat Islam
,
Raihan Seraj
,
Pierre-Luc Bacon
,
Doina Precup
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods.
CoRR
(2019)