About Me
I am a PhD student at UT Austin advised by Amy Zhang working on deep reinforcement learning. I am supported by the NSF Ethical AI Fellowship. I am interested in all sorts of deep reinforcement learning problems but recently, I have been working on RL in heterogeneous multi-agent systems.
Previously, I did work in the Structured Techniques for Algorithmic Robotics lab (STAR) with Professor Harish Ravichandar and the Robot Autonomy and Interactive Learning lab (RAIL) with Professor Sonia Chernova. I also worked closely with Robotics PhD student Joanne Truong on sim2real for legged robotics.
Education
- PhD in Computer Science, UT Austin, 2022 - ???
- M.S. in Electrical and Computer Engineering, Georgia Institute of Technology, 2020-2021
- B.S. in Electrical Engineering and Minor in Robotics, Georgia Institute of Technology, 2016-2020
Publications
- Max Rudolph*,Pierce Howell*,Reza Torbati, Kevin Fu, Harish Ravichandar Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities, Conference on Robot Learning (CoRL), 2023
- Joanne Truong, Max Rudolph,, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai, Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation, Conference on Robot Learning (CoRL), 2022
- Max Rudolph, Sonia Chernova, Harish Ravichandar Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation, In Proc. of The International Conference on Intelligent Robots and Systems (IROS), 2021
- Max Rudolph, Sean Wilson, Magnus Egerstedt Range Limited Coverage Control using Air-Ground Multi-Robot Teams, In Proc. of The International Conference in Robotics and Automation (ICRA), 2021.
In the Media
I was part of an intern spotlight while working on Mars2020 at the Jet Propulsion Lab.
When not herding robots…
I like to play tennis and bake. I’m also a National Parks enthusiast.
Joshua Tree National Park
Everglades National Park
