Justin Yu

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

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)

Research topics

Artificial Intelligence (3) Machine Learning (2) Reinforcement Learning (2) Core AI (2) Robotics (1) Applications (1) Bayesian & Probabilistic (1) Capabilities (1) Core Methods (1) Learning Paradigms (1) Methods (1) Optimization & Theory (1)

Keywords

reinforcement learning (2) continual learning (1) robotic manipulation (1) uncertainty quantification (1) kalman filter (1) state estimation (1) autonomous learning (1) reward learning (1) normalized maximum likelihood (1) 3d gaussian splatting (1) vision-language-action model (1) human demonstration (1) legged robot (1) contact detection (1) 6-dof object motion (1) imitation learning policies (1) robot proprioceptive states (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