Justin Yu

5 papers · 2020–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (14)

Conferences

CORL (2) ECCV (1) ICLR (1) ICML (1)

Top co-authors

Abhishek Gupta (2) Sergey Levine (2) Ashwin Reddy (1) Dhruv Shah (1) Richard Cheng (1) Henry Zhu (1) Karim El-Refai (1) Huang Huang (1) John J Mose (1) Abhishek Singh (1)

Keywords

reinforcement learning (1) uncertainty quantification (1) kalman filter (1) state estimation (1) reward learning (1) normalized maximum likelihood (1) legged robot (1) contact detection (1)

Papers

Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware CORL 2025

"SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks" ECCV 2024

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CORL 2021

MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021

The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020