Islam, Riashat

19 publications

ICML 2025 Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam

ICLRW 2025 Risks and Safety Considerations for Foundation Model-Based Autonomous Agents' Interaction with the Environment Azmine Toushik Wasi, Mahfuz Ahmed Anik, Riashat Islam

ICLR 2024 EQA-MX: Embodied Question Answering Using Multimodal Expression Md Mofijul Islam, Alexi Gladstone, Riashat Islam, Tariq Iqbal

ICML 2024 Learning Latent Dynamic Robust Representations for World Models Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam

ICML 2024 PcLast: Discovering Plannable Continuous Latent States Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P Molu, Miroslav Dudı́k, John Langford, Alex Lamb

NeurIPS 2024 Sequence-Augmented SE(3)-Flow Matching for Conditional Protein Generation Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael Bronstein, Alexander Tong, Avishek Joey Bose

NeurIPSW 2023 Agent-Centric State Discovery for Finite-Memory POMDPs Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb

ICLR 2023 Behavior Prior Representation Learning for Offline Reinforcement Learning Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche

TMLR 2023 Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J Foster, Lekan P Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

NeurIPS 2023 Ignorance Is Bliss: Robust Control via Information Gating Manan Tomar, Riashat Islam, Matthew Taylor, Sergey Levine, Philip Bachman

ICML 2023 Principled Offline RL in the Presence of Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford

AISTATS 2023 Representation Learning in Deep RL via Discrete Information Bottleneck Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb

NeurIPS 2023 Understanding and Addressing the Pitfalls of Bisimulation-Based Representations in Offline Reinforcement Learning Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche

NeurIPSW 2022 Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Hongyu Zang, Yonathan Efroni, Dipendra Misra, Aniket Rajiv Didolkar, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

NeurIPS 2022 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

ICLR 2019 InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal, Riashat Islam, Dj Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Yoshua Bengio, Sergey Levine

FnTML 2018 An Introduction to Deep Reinforcement Learning Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau

AAAI 2018 Deep Reinforcement Learning That Matters Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger

ICML 2017 Deep Bayesian Active Learning with Image Data Yarin Gal, Riashat Islam, Zoubin Ghahramani