Ongoing Works :
- Riashat Islam, Haque Ishfaq, Zhen Liu, Zhuoran Yang, Zhaoran Wang, Doina Precup. “Dual Options Framework with Convergence Guarantees”
- Riashat Islam, Haque Ishfaq, Zhuoran Yang, Zhaoran Wang, Doina Precup. “Bilevel Optimization with Parallel Augmented MDPs in Options Framework”
- Haque Ishfaq, Riashat Islam, Zhuoran Yang, Zhaoran Wang, Doina Precup. “Provably Efficient Exploration in Policy Optimization with Thompson Sampling”
- Martin Klissarov*, Riashat Islam*, Khimya Khetarpal, Doina Precup. “Variational State Encoding as Intrinsic Motivation in Reinforcement Learning”
Conferences, PrePrints and Journals:
- Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup. “Entropy Regularization with Discounted Future State Distributions in Policy Gradient” (PrePrint)
- Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup. “Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning” (PrePrint)
- Riashat Islam, Deepak Sharma, Komal Teru, Joelle Pineau. “Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift” (PrePrint)
- Riashat Islam, Zafarali Ahmed, Doina Precup. “Marginalized State Distribution Entropy Regularization in Policy Optimization” (PrePrint)
- Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau. “An Introduction to Deep Reinforcement Learning”. (Paper)
Journal : Foundations and Trends in Machine Learning, 2018 - Arash Tavakoli, Vitaly Levdik, Riashat Islam, Petar Kormushev. “Prioritizing Starting States for Reinforcement Learning”. (Paper) (Under Submission)
- Anirudh Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine, Yoshua Bengio. InfoBot: Transfer and Exploration via the Information Bottleneck (ICLR 2019) (Poster)
- Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed.
“VFunc : A Deep Generative Model for Functions”. arxiv, 2018 (Paper) - Peter Henderson*, Riashat Islam*, Philip Bachman, Joelle Pineau, Doina Precup, David Meger. “Deep Reinforcement Learning that Matters”.
AAAI 2018 (Paper) (Science Magazine) (Blogpost) - David Krueger*, Chin-Wei Huang*, Riashat Islam, Ryan Turner, Aaron Courville. “Bayesian Hypernetworks”. Arxiv (Paper)
- Yarin Gal, Riashat Islam, Zoubin Ghahramani. “Deep Bayesian Active Learning with Image Data”. ICML 2017 (Paper | Code | Poster | Slides)
- Bogdan Mazoure*, Riashat Islam*. “Alpha-Divergences in Variational Dropout” arxiv preprint, 2017 (Paper)
- H. M. Tarek Ullah, Zishan Ahmed Onik, Riashat Islam, Dip Nandi. “Alzheimer’s Disease And Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks.”. I2CT 2017
Workshops :
- Riashat Islam, Jayakumar Subramanian, Raihan Seraj, Pierre-Luc Bacon, Doina Precup. “Entropy Regularization with Discounted Future State Distributions in Policy Gradient”. The Optimization Foundations for Reinforcement Learning workshop, NeurIPS 2019
- Riashat Islam, Deepak Sharma, Komal Teru, Doina Precup. “Off-Policy Policy Gradient Algorithms by Minimizing the State Distribution Shift”. Deep Reinforcement Learning workshop, NeurIPS 2019
- Riashat Islam, Zafarali Ahmed, Doina Precup. “Marginalized State Distribution Entropy Regularization in Policy Optimization”. Deep Reinforcement Learning workshop, NeurIPS 2019
- Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup. “Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning”. Safety and Robustness in Decision Making workshop, NeurIPS 2019
- Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam. “Transfer Learning by Modelling Distribution over Policies”. Multi-Task and Lifelong Reinforcement Learning, ICML 2019
- Riashat Islam*, Martin Klissarov*, Khimya Khetarpal, Doina Precup. “Variational State Encoding as Intrinsic Motivation in Reinforcement Learning”. Task Agnostic Reinforcement Learning workshop, ICLR 2019 (Paper)
- Srinivas Venkattaramanujam, Riashat Islam, Doina Precup. “Automatic Curriculum Generation Via Task Perturbations For Reinforcement Learning”, Task Agnositc Reinforcement Learning workshop, ICLR 2019
- Riashat Islam, Zafarali Ahmed, Pierre-Luc Bacon, Doina Precup
“Off-Policy Policy Gradient Theorem with Logarithmic Mappings”, RLDM 2019 - Riashat Islam*, Samin Yeasar Arnob*, Doina Precup
“Doubly Robust Estimators in Off-Policy Actor-Critic Algorithms”, (Spotlight), RLDM 2019 - Martin Klissarov*, Riashat Islam*, Khimya Khetarpal, Doina Precup.
“Variational State Encoding as Intrinsic Motivation in Reinforcement Learning”, RLDM 2019 - Arash Tavakoli*, Vitaly Levdik*, Riashat Islam, Peter Kormushev.
“Prioritizing Starting States for Reinforcement Learning”, RLDM 2019 - Andre Cianflone, Zafarali Ahmed, Riashat Islam, Avishek Joey Bose, William L. Hamilton. “Discrete off-policy policy gradient using continuous relaxations”, RLDM 2019
- Anirudh Goyal, Riashat Islam, Zafarali Ahmed, Doina Precup, Matthew Botvinick, Hugo Larochelle, Sergey Levine and Yoshua Bengio
“InfoBot: Structured Exploration in Reinforcement Learning Using Information Bottleneck”. Exploration in Reinforcement Learning workshop, ICML 2018 - Philip Bachman, Riashat Islam, Zafarali Ahmed, Alessandro Sordoni.
“VFunc : A Deep Generative Model for Functions”. Prediction and Generative Modelling in Reinforcement Learning workshop, ICML 2018 (Paper) (Oral) - Khimya Khetarpal, Zafarali Ahmed, Andre Cianflone, Riashat Islam, Joelle Pineau “Re-Evaluate : Reproducibility in Evaluating Reinforcement Learning Algorithms”. Reproducibility in Machine Learning Workshop, ICML 2018 (Paper)
- Amy Zhang, Josh Romoff, Riashat Islam. “An Analysis of Optimization for Deep Reinforcement Learning”. Modern Trends in Nonconvex Optimization for Machine Learning workshop, ICML 2018
- David Krueger*, Chin-Wei Huang*, Riashat Islam, Ryan Turner, Alexandre Lacoste and Aaron Courville. “Bayesian Hypernetworks”.
Bayesian Deep Learning workshop NIPS 2017 (Paper) - Peter Henderson*, Thang Doan*, Riashat Islam and David Meger.
“Bayesian Policy Gradients via Alpha-Divergence Dropout Inference”.
Bayesian Deep Learning workshop, NIPS 2017 (Paper) (Poster) - Riashat Islam*, Peter Henderson*, Maziar Gomrokchi, Doina Precup. “Reprodicibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control”. Reproducibility in Machine Learning workshop, ICML 2017 (Paper | Poster | Code)
- Riashat Islam*, Peter Henderson*, Doina Precup.
Contributed talk at Reinforcement Learning workshop, ICML 2017 (Slides) - Maziar Gomrokchi, Susan Amin, Riashat Islam, Harsh Satija, Doina Precup. “Using Locally Self-Avoiding Random Walks for Exploration in Reinforcement Learning”. RLDM 2017
- Yarin Gal, Riashat Islam, Zoubin Ghahramani. “Active Learning with Image Data”. Bayesian Deep Learning workshop, NIPS 2016 (Paper | Poster)
* Equal Contributions
Profile :
Paper Reviewing and Program Committee :
- ICML 2020 Main Conference
- AAAI 2020 Main Conference
- NeurIPS 2019 Deep Reinforcement Learning workshop
- NeurIPS 2019 Bayesian Deep Learning workshop
- ICLR 2020 Main Conference
- NeurIPS 2019 Main Conference
- ICML 2019 : Multi-Task and Lifelong Reinforcement Learning workshop
- UAI 2019 Main Conference
- ICML 2019 Main Conference
- NeurIPS 2018 Continual Learning workshop
- NeurIPS 2018 Bayesian Deep Learning workshop
- NeurIPS 2018 MainConference
- NeurIPS 2017 Bayesian Deep Learning workshop
Thesis :
- Riashat Islam, Yarin Gal, Zoubin Ghahramani. “Active Learning Image Data using Uncertainty in Deep Learning”. Masters Thesis, University of Cambridge, 2016 (Thesis | Poster | Code)
- Riashat Islam, Guy Lever, John Shawe-Taylor. “Improving Convergence of Deterministic Policy Gradient Methods in Reinforcement Learning”. Undergraduate Thesis, University College London, 2015 (Thesis | Code)
Others :
- Riashat Islam*, Peter Henderson*, Maziar Gomrokchi, Doina Precup. “Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control”, Montreal AI Symposium, 2017
Other Notes (Unpublished) :
- Deterministic Intra-Option Policy Gradient Theorem (Report)
- Option Critic in Reproducing Kernel Hilbert Space (Report)
Technical Reports/Projects :
- Riashat Islam. “Exploration in Continuous Control Reinforcement Learning” (Slides)
- Riashat Islam, Catherine McGhan, Richard Murray. “Improved State Estimation and Control for Resilient Spacecraft Executive”. SURF 2017, Caltech and NASA JPL (Report | Slides)
- Riashat Islam. “Large Vocabulary Speech Recognition” (Report)
- Riashat Islam. “Speech Recognition with GMM-HMMs” (Report)
- Riashat Islam, Jiameng Gao, Vera Johne. “Unifying Review of Variational Inference and Learning using Deep Directed Latent Variable Models” (Report | Poster)
- Riashat Islam. “Keyword Spotting” (Report)
- Riashat Islam. “Statistical Machine Translation” (Slides)
- Riashat Islam. “Reinforcement Learning for Spoken Dialogue Systems” (Report)
- Riashat Islam. “Basic Algorithms in Reinforcement Learning” (Report)
- Riashat Islam. “Playing Blackjack with Reinforcement Learning” (Report)
- Riashat Islam. “Cost-Sensitive Decision Tree Classifiers” (Report)
- Riashat Islam. “Gaussian Processes” (Report)
- Riashat Islam. “Weighted Automata using OpenFST” (Report)
- Riashat Islam. “Statistical Speech Synthesis” (Report)