Riashat Islam

Identifiers

• name variant Riashat Islam 0.60 · backfill

Papers (12)

1. SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning cs.LG · 2026 · author #8
2. When Does Predictive Inverse Dynamics Outperform Behavior Cloning? cs.LG · 2026 · author #9
3. Next-Latent Prediction Transformers Learn Compact World Models cs.LG · 2025 · author #8
4. Transfer Learning by Modeling a Distribution over Policies cs.LG · 2019 · author #3
5. An Introduction to Deep Reinforcement Learning cs.LG · 2018 · author #3
6. VFunc: a Deep Generative Model for Functions cs.LG · 2018 · author #2
7. Bayesian Policy Gradients via Alpha Divergence Dropout Inference cs.LG · 2017 · author #3
8. Alpha-Divergences in Variational Dropout stat.ML · 2017 · author #2
9. Bayesian Hypernetworks stat.ML · 2017 · author #3
10. Deep Reinforcement Learning that Matters cs.LG · 2017 · author #2
11. Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control cs.LG · 2017 · author #1
12. Deep Bayesian Active Learning with Image Data cs.LG · 2017 · author #2

Mentions

• 2601.21718 #9 · arxiv_oai · confidence 0.70 Riashat Islam
• 2511.05963 #8 · arxiv_oai · confidence 0.70 Riashat Islam

Frequent Coauthors

• Peter Henderson 4 shared papers
• Alex Lamb 3 shared papers
• David Meger 2 shared papers
• Doina Precup 2 shared papers
• Joelle Pineau 2 shared papers
• John Langford 2 shared papers
• Philip Bachman 2 shared papers
• Aaron Courville 1 shared papers
• Abdelhak Lemkhenter 1 shared papers
• Akshay Krishnamurthy 1 shared papers
• Alessandro Sordoni 1 shared papers
• Alexandre Lacoste 1 shared papers
• Bogdan Mazoure 1 shared papers
• Boya Zhang 1 shared papers
• Chin-Wei Huang 1 shared papers
• Chris Lovett 1 shared papers
• David Krueger 1 shared papers
• Disha Shrivastava 1 shared papers
• Edward S. Hu 1 shared papers
• Eeshan Gunesh Dhekane 1 shared papers