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Riashat Islam

13 papers · 2017–2025 · 4 venues · across top CS/AI venues

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Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (24) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (68)

Venues

ICML (5) NeurIPS (4) ICLR (3) AISTATS (1)

Top co-authors

Xin Li (7) Hongyu Zang (7) Remi Tachet des Combes (4) Romain Laroche (4) Anirudh Goyal (3) Manan Tomar (3) Alex Lamb (3) Tariq Iqbal (2) Md Mofijul Islam (2) Sergey Levine (2)

Research topics

Artificial Intelligence (9) Machine Learning (9) Reinforcement Learning (9) Methods (8) Core Methods (7) Core AI (4) Learning Paradigms (4) Deep Learning (3) Robotics (3) Applications (3) Architectures (3) Capabilities (3) Learning Types (3) Healthcare & Medicine (1) Application Areas (1)

Keywords

representation learning (5) offline reinforcement learning (3) latent state (2) information bottleneck (2) latent representation (2) variational inference (1) robotic manipulation (1) reinforcement learning (1) inverse dynamics (1) hierarchical planning (1) self-supervised learning (1) flow matching (1) reinforcement learning from human feedback (1) behavior cloning (1) value function (1) robustness (1) vector quantization (1) state representation (1) model uncertainty (1) transfer learning (1)

Papers

Learning Fused State Representations for Control from Multi-View Observations ICML 2025 EQA-MX: Embodied Question Answering using Multimodal Expression ICLR 2024 Learning Latent Dynamic Robust Representations for World Models ICML 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 Behavior Prior Representation learning for Offline Reinforcement Learning ICLR 2023 Ignorance is Bliss: Robust Control via Information Gating NeurIPS 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NeurIPS 2023 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning NeurIPS 2022 InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019 Deep Bayesian Active Learning with Image Data ICML 2017