Riashat Islam
- Deep Reinforcement Learning that Matters
2017/09/19 by Peter Henderson, Riashat Islam, Henderson, Peter +10 · 4 voices · 82 citations
Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Deep Bayesian Active Learning with Image Data
2017/03/08 by Yarin Gal, Gal, Yarin, Riashat Islam +3 · 44 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- An Introduction to Deep Reinforcement Learning
2018/11/30 by Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2 · 1 voice · 7 citations
Computer Science · Mathematics · #cs.LG #cs.AI #stat.ML
- Next-Latent Prediction Transformers Learn Compact World Models
2025/11/08 by J. J. Teoh, Jayden Teoh, Manan Tomar +18 · 4 voices · 3 citations
Computer Science · #cs.LG
- Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
2022/07/17 by Alex Lamb, Riashat Islam, Lamb, Alex +17 · 5 citations
Computer Science · #Time Series Analysis and Forecasting #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning
- Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
2024/05/30 by Guillaume Huguet, James Vuckovic, Huguet, Guillaume +21 · 7 citations
Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Viral Infectious Diseases and Gene Expression in Insects
- Representation Learning in Deep RL via Discrete Information Bottleneck
2022/12/28 by Riashat Islam, Hongyu Zang, Islam, Riashat +19 · 3 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
2023/10/26 by Hongyu Zang, Zang, Hongyu, Xin Li +13 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Software Engineering Research
- Marginalized State Distribution Entropy Regularization in Policy Optimization
2019/12/11 by Riashat Islam, Islam, Riashat, Zafarali Ahmed +3 · 1 citation
Computer Science · Decision Sciences · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
- Ignorance is Bliss: Robust Control via Information Gating
2023/03/10 by Manan Tomar, Tomar, Manan, Riashat Islam +6 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function
- Reinforcement Learning for Sequence Design Leveraging Protein Language Models
2024/07/03 by Jithendaraa Subramanian, Shivakanth Sujit, Subramanian, Jithendaraa +11 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · #Software Engineering Research #Natural Language Processing Techniques #Machine Learning in Bioinformatics