Riashat Islam

发表

InfoBot: Transfer and Exploration via the Information Bottleneck pdf

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019, ICLR.

Deep Reinforcement Learning that Matters pdf

Philip Bachman, Joelle Pineau, Peter Henderson, 2017, AAAI.

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control pdf

Peter Henderson, Doina Precup, Maziar Gomrokchi, 2017, ArXiv.

Deep Bayesian Active Learning with Image Data pdf

Zoubin Ghahramani, Yarin Gal, Riashat Islam, 2017, ICML.

An Introduction to Deep Reinforcement Learning

Peter Henderson, Joelle Pineau, Marc G. Bellemare, 2018, Found. Trends Mach. Learn..

Active Learning for High Dimensional Inputs using Bayesian Convolutional Neural Networks

Riashat Islam, 2016 .

Randomized Least Squares Policy Optimization

Doina Precup, Riashat Islam, A. Lupu, 2021 .

Statistical Spoken Dialogue Systems

Riashat Islam, 2016 .

InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019 .

Improved State Estimation for a Resilient Spacecraft Executive

Catharine L. R. McGhan, R. Murray, Riashat Islam, 2015 .

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning

Anirudh Goyal, Riashat Islam, Alex Lamb, 2022, ArXiv.

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ArXiv.

Behavior Prior Representation learning for Offline Reinforcement Learning

Riashat Islam, R. Laroche, Rémi Tachet des Combes, 2022, ArXiv.

Representation Learning in Deep RL via Discrete Information Bottleneck

Md. Mofijul Islam, Samin Yeasar Arnob, N. Heess, 2022, 2212.13835.

Offline Policy Optimization in RL with Variance Regularizaton

Samin Yeasar Arnob, Doina Precup, Lihong Li, 2022, ArXiv.

Alzheimer's Disease and Dementia Detection from 3D Brain MRI Data Using Deep Convolutional Neural Networks

Dip Nandi, Riashat Islam, H. M. Tarek Ullah, 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Dylan J. Foster, Dipendra Kumar Misra, J. Langford, 2022, Trans. Mach. Learn. Res..

Marginalized State Distribution Entropy Regularization in Policy Optimization pdf

Doina Precup, Zafarali Ahmed, Riashat Islam, 2019, ArXiv.

Bayesian Hypernetworks pdf

Alexandre Lacoste, Aaron C. Courville, Chin-Wei Huang, 2017, ArXiv.

Representation Learning in Deep RL via Discrete Information Bottleneck

Md. Mofijul Islam, Samin Yeasar Arnob, N. Heess, 2022, AISTATS.

Exploring Restart Distributions.

Vitaly Levdik, Arash Tavakoli, Petar Kormushev, 2020 .

VFunc: a Deep Generative Model for Functions pdf

Philip Bachman, Alessandro Sordoni, Riashat Islam, 2018, ArXiv.

RE-EVALUATE: Reproducibility in Evaluating Reinforcement Learning Algorithms

Joelle Pineau, Khimya Khetarpal, Andre Cianflone, 2018 .

Behavior Prior Representation learning for Offline Reinforcement Learning

Riashat Islam, R. Laroche, Rémi Tachet des Combes, 2022, ICLR.

Attention Models for Image and Video Caption Generation

Riashat Islam, 2016 .

Ignorance is Bliss: Robust Control via Information Gating

S. Levine, Riashat Islam, Philip Bachman, 2023, NeurIPS.

Alpha-Divergences in Variational Dropout pdf

Bogdan Mazoure, Riashat Islam, Riashat Islam, 2017, ArXiv.

A Unifying Review of Efficient Variational Inference and Learning in Deep Directed Latent Variable Models

Riashat Islam, Jiameng Gao, 2016 .

Principled Offline RL in the Presence of Rich Exogenous Information

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ICML.

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ArXiv.

Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift pdf

Riashat Islam, Komal K. Teru, Deepak Sharma, 2019, ArXiv.

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

Riashat Islam, Rémi Tachet des Combes, Baigui Sun, 2023, ArXiv.

PcLast: Discovering Plannable Continuous Latent States

Riashat Islam, Yonathan Efroni, Rajan Chari, 2023, ArXiv.

Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models

Dylan J. Foster, Dipendra Kumar Misra, J. Langford, 2022, arXiv.org.

Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs

Riashat Islam, Yonathan Efroni, Raihan Seraj, 2024, 2404.14552.

Agent-Centric State Discovery for Finite-Memory POMDPs

Riashat Islam, Yonathan Efroni, Raihan Seraj, 2022 .