Riashat Islam - RankMe

51 papers A* 12A 1Journal 37Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Scalar Rewards to Potential Trends: Shaping Potential Landscapes for Model-Based Reinforcement Learning. CoRR Yao-Hui Li, Zeyu Wang, Xin Li, Wei Pang, Yingfang Yuan, Zhengkun Chen, Boya Zhang, Riashat Islam, Alex Lamb, Yonggang Zhang
2026	J	`jnl`	When does predictive inverse dynamics outperform behavior cloning? CoRR Lukas Schäfer, Pallavi Choudhury, Abdelhak Lemkhenter, Chris Lovett, Somjit Nath, Luis França, Matheus Ribeiro Furtado de Mendonca, Alex Lamb, Riashat Islam, Siddhartha Sen, John Langford, Katja Hofmann, Sergio Valcarcel Macua
2025	A*	`conf`	Learning Fused State Representations for Control from Multi-View Observations. ICML Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam
2025	J	`jnl`	Learning Fused State Representations for Control from Multi-View Observations. CoRR Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam
2025	J	`jnl`	Next-Latent Prediction Transformers Learn Compact World Models. CoRR Jayden Teoh, Manan Tomar, Kwangjun Ahn, Edward S. Hu, Pratyusha Sharma, Riashat Islam, Alex Lamb, John Langford
2025	J	`jnl`	Wavelet Predictive Representations for Non-Stationary Reinforcement Learning. CoRR Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang
2025	J	`jnl`	h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning. CoRR Sumeet Ramesh Motwani, Alesia Ivanova, Ziyang Cai, Philip Torr, Riashat Islam, Shital Shah, Christian Schröder de Witt, Charles London
2024	A*	`conf`	EQA-MX: Embodied Question Answering using Multimodal Expression. ICLR Md Mofijul Islam, Alexi Gladstone, Riashat Islam, Tariq Iqbal
2024	J	`jnl`	Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs. CoRR Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb
2024	A*	`conf`	Learning Latent Dynamic Robust Representations for World Models. ICML Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam
2024	J	`jnl`	Learning Latent Dynamic Robust Representations for World Models. CoRR Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam
2024	A*	`conf`	PcLast: Discovering Plannable Continuous Latent States. ICML 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
2024	J	`jnl`	Reinforcement Learning for Sequence Design Leveraging Protein Language Models. CoRR Jithendaraa Subramanian, Shivakanth Sujit, Niloy Irtisam, Umong Sain, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, Riashat Islam
2024	J	`jnl`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose
2024	A*	`conf`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation. NeurIPS Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose
2023	A*	`conf`	Behavior Prior Representation learning for Offline Reinforcement Learning. ICLR Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023	J	`jnl`	Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models. Trans. Mach. Learn. Res. Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
2023	A*	`conf`	Ignorance is Bliss: Robust Control via Information Gating. NeurIPS Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman
2023	J	`jnl`	Ignorance is Bliss: Robust Control via Information Gating. CoRR Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
2023	J	`jnl`	PcLast: Discovering Plannable Continuous Latent States. CoRR 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
2023	A*	`conf`	Principled Offline RL in the Presence of Rich Exogenous Information. ICML 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
2023	A	`conf`	Representation Learning in Deep RL via Discrete Information Bottleneck. AISTATS Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2023	A*	`conf`	Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. NeurIPS Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023	J	`jnl`	Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. CoRR Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2022	J	`jnl`	Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2022	J	`jnl`	Behavior Prior Representation learning for Offline Reinforcement Learning. CoRR Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2022	A*	`conf`	Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models. CoRR Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
2022	J	`jnl`	Offline Policy Optimization in RL with Variance Regularizaton. CoRR Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
2022	J	`jnl`	Representation Learning in Deep RL via Discrete Information Bottleneck. CoRR Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2021	J	`jnl`	Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning. CoRR Samin Yeasar Arnob, Riashat Islam, Doina Precup
2019	J	`jnl`	Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. CoRR Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup
2019	J	`jnl`	Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods. CoRR Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup
2019	—	`conf`	InfoBot: Transfer and Exploration via the Information Bottleneck. ICLR (Poster) Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine
2019	J	`jnl`	InfoBot: Transfer and Exploration via the Information Bottleneck. CoRR Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew M. Botvinick, Hugo Larochelle, Sergey Levine, Yoshua Bengio
2019	J	`jnl`	Marginalized State Distribution Entropy Regularization in Policy Optimization. CoRR Riashat Islam, Zafarali Ahmed, Doina Precup
2019	J	`jnl`	Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift. CoRR Riashat Islam, Komal K. Teru, Deepak Sharma
2019	J	`jnl`	Transfer Learning by Modeling a Distribution over Policies. CoRR Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam
2018	J	`jnl`	An Introduction to Deep Reinforcement Learning. CoRR Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
2018	J	`jnl`	An Introduction to Deep Reinforcement Learning. Found. Trends Mach. Learn. Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
2018	A*	`conf`	Deep Reinforcement Learning That Matters. AAAI Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2018	J	`jnl`	Prioritizing Starting States for Reinforcement Learning. CoRR Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev
2018	J	`jnl`	VFunc: a Deep Generative Model for Functions. CoRR Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed
2017	J	`jnl`	Alpha-Divergences in Variational Dropout. CoRR Bogdan Mazoure, Riashat Islam
2017	J	`jnl`	Bayesian Hypernetworks. CoRR David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville
2017	J	`jnl`	Bayesian Policy Gradients via Alpha Divergence Dropout Inference. CoRR Peter Henderson, Thang Doan, Riashat Islam, David Meger
2017	A*	`conf`	Deep Bayesian Active Learning with Image Data. ICML Yarin Gal, Riashat Islam, Zoubin Ghahramani
2017	J	`jnl`	Deep Bayesian Active Learning with Image Data. CoRR Yarin Gal, Riashat Islam, Zoubin Ghahramani
2017	J	`jnl`	Deep Reinforcement Learning that Matters. CoRR Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2017	J	`jnl`	Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control. CoRR Riashat Islam, Peter Henderson, Maziar Gomrokchi, Doina Precup