Siddhant Agarwal

PhD student, University of Texas at Austin

Joined

September 2020

Names

Siddhant Agarwal (Preferred)

Emails

****@gmail.com (Confirmed)

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

Personal Links

Homepage

Career & Education History

PhD student

University of Texas at Austin (cs.utexas.edu)

2022 – Present

Undergrad student

IIT Kharagpur (iitkgp.ac.in)

2017 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Amy Zhang

Present

PhD Advisor

Peter Stone

Present

Expertise

Reinforcement Learning

Present

Deep Learning

Present

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
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
- ICLR 2026 Poster
- Readers: Everyone
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
- RLBrew: Ingredients for Developing Generalist Agents workshop (RLC 2025)
- 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
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
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
Adam Labiosa, Zhihan Wang, Siddhant Agarwal, William Cong, Geethika Hemkumar, Abhinav Narayan Harish, Benjamin Hong, Josh Kelle, Chen Li, Yuhao Li, Zisen Shao, Peter Stone, Josiah P. Hanna
- RoboLetics 2.0 ICRA 2025 Oral
- 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

View all 20 publications

Co-Authors

View all 54 co-authors