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

News

• 08/15/2024: Our workshop on building trust in AI systems was accepted to Trustworthy Autonomous Systems 2024
• 05/15/2024: Began Applied Scientist internship at Amazon working on exploration for reinforcement learning
• 05/03/2024: Paper on bisimulation representation learning for RL accepted at
• 04/18/2024: Named Finalist in the Qualcomm Innovation Fellowship
• 09/02/2022: Won Ethical AI Fellowship
• 08/16/2022: started CS PhD at UT Austin

Publications

1. Max Rudolph*,Caleb Chuck*,Kevin Black*, Misha Lvovsky, Scott Niekum, Amy Zhang Learning Action-based Representations Using Invariance, Reinforcement Learning Conference, 2024
2. Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning Caleb Chuck*, Carl Qi*, Michael Joseph Munje*, Shuozhe Li*, Max Rudolph*, Chang Shi*, Siddhant Agarwal*, Harshit Sikchi*, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum
3. 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
4. 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
5. 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
6. 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.

Joshua Tree National Park

Everglades National Park