Max Rudolph

PhD student, University of Texas at Austin

Joined

November 2021

Names

Max Rudolph (Preferred)

Emails

****@gmail.com (Confirmed)

****@cs.utexas.edu (Confirmed)

****@utexas.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of Texas at Austin (utexas.edu)

2022 – 2026

MS student

Georgia Institute of Technology (gatech.edu)

2020 – 2021

Undergrad student

Georgia Institute of Technology (gatech.edu)

2016 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Exploration for Deployment-Efficient Reinforcement Learning Agents
Siddhant Agarwal, Max Rudolph, Omer Gottesman, Akhil Bagaria, Amy Zhang, Sohrab Andaz, Udaya Ghai, Carson Eisenach
- Submitted to ICLR 2026
- Readers: Everyone
A Unifying Perspective on Unsupervised Reinforcement Learning Algorithms
Siddhant Agarwal, Caleb Chuck, Harshit Sikchi, Jiaheng Hu, Max Rudolph, Scott Niekum, Peter Stone, Amy Zhang
- Submitted to ICLR 2026
- Readers: Everyone
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre M Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
- ICLR 2026 Poster
- Readers: Everyone
A Unified Framework for Unsupervised Reinforcement Learning Algorithms
Siddhant Agarwal, Caleb Chuck, Harshit Sikchi, Jiaheng Hu, Max Rudolph, Scott Niekum, Peter Stone, Amy Zhang
- RLBrew: Ingredients for Developing Generalist Agents workshop (RLC 2025)
- Readers: Everyone
Exploration for the Efficient Deployment of Reinforcement Learning Agents
Max Rudolph, Siddhant Agarwal, Omer Gottesman, Amy Zhang, Akhil Bagaria, Sohrab Andaz, Udaya Ghai, Carson Eisenach
- RLBrew: Ingredients for Developing Generalist Agents workshop (RLC 2025)
- Readers: Everyone
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
- CoCoMARL 2025 Oral
- Readers: Everyone
Exploration for the Efficient Deployment of Reinforcement Learning Agents
Max Rudolph, Siddhant Agarwal, Omer Gottesman, Amy Zhang, Akhil Bagaria, Sohrab Andaz, Udaya Ghai, Carson Eisenach
- RL4RS 2025
- Readers: Everyone
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
- NeurIPS 2025 poster
- Readers: Everyone
RL Zero: Zero-Shot Language to Behaviors without any Supervision
Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
- WRL@ICLR 2025 Poster
- Readers: Everyone
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
Shuozhe Li, Caleb Chuck, Carl Qi, Michael Joseph Munje, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 19 publications

Co-Authors

View all 45 co-authors