PhD Candidates
Julian Vasquez
Julian builds reinforcement learning systems that transfer from simulation to physical robots with minimal real-world data. His internships at top industry labs and a popular open-source release signal a candidate ready to ship production ML.
Details
- Advisor
- Dr. Chelsea Finn
- Field
- Machine Learning
- Institution
- Stanford University
- Skills
- PyTorchReinforcement LearningRoboticsCUDADistributed TrainingSim-to-Real Transfer
- Thesis
- Sample-efficient reinforcement learning for robotic manipulation under distribution shift
- Transition Signals
- Research internship at Google DeepMindCo-authored paper with NVIDIA researchersOpen-sourced widely-starred RL library