I’m Tianwei (Victor) Ni, recently obtained my master’s degree at Machine Learning Department, School of Computer Science, Carnegie Mellon University. I work closely with Benjamin Eysenbach and Prof. Ruslan Salakhutdinov.
My master research was advised by Prof. Katia Sycara at Robotics Institute. Prior to CMU, I obtained my Bachelor degree in Computer Science at Peking University. My undergraduate research was guided by Prof. Zhouchen Lin, Dr. Lingxi Xie, and Prof. Alan Yuille.
My research interest lies in the intersection of machine learning and robotics, also known as robot learning and actionable intelligence. As a firm advocate of next-generation automation in the long run, I love everything related to learning to control in theory, algorithm, and application: (1) deep reinforcement learning (RL) and optimal control in agent/robot side, (2) estimating and exploiting dynamical systems in environment/simulator side, and (3) human-robot-environment interaction.
I have conducted research and aim to further explore on the following aspects and beyond:
- theory/algorithms: reinforcement learning and control (including imitation learning) with less human supervision and towards general purpose
- applications: robotic tasks (e.g. locomotion, navigation, manipulation; representation learning for perception) with domain knowledge, human-agent/robot interaction with adaptation, intention recognition and safety.
- 2021-02-01: I will join Allen Institute for AI (AI2) as a research intern during summer 2021 :)
- 2020-12-15: I’m applying for Ph.D. in ML/RL/Robotics starting from Fall 2021. Feel free to reach me out by email if interested!