Ryan Hoque

6 papers · 2020–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14)

Venues

CoRL (5) RSS (1)

Top co-authors

Ken Goldberg (5) Satvik Sharma (2) Ashwin Balakrishna (2) Lawrence Yunliang Chen (2) Guanya Shi (1) Daniel Seita (1) Karthik Dharmarajan (1) Huang Huang (1) Ajay Tanwani (1) brian ichter (1)

Research topics

Machine Learning (5) Artificial Intelligence (4) Core AI (4) Learning Types (4) Reinforcement Learning (3) Methods (3) Robotics (1) Application Areas (1) Capabilities (1) Learning Paradigms (1)

Keywords

imitation learning (3) active learning (1) continual learning (1) interactive learning (1) budget-aware learning (1) scene understanding (1) depth perception (1) uncertainty quantification (1) transformer (1) domain randomization (1) novelty detection (1) energy-based model (1) vision-language model (1) goal-conditioned policy (1) human intervention (1) object navigation (1) large language model (1) visual foresight (1) semantic mechanical search (1) interactive imitation learning (1)

Papers

Humanoid Policy Human Policy CoRL 2025 IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors CoRL 2023 Semantic Mechanical Search with Large Vision and Language Models CoRL 2023 Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision CoRL 2022 ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CoRL 2021 VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation RSS 2020