Research

2026

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Max Rudolph*, Nathan Lichtle*, Sobhan Mohammadpour*, Alexandre Bayen, J. Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota

ICLR Oral at RLC 2025 CoCoMARL Workshop

paper code exploitability library game demo

2025

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

NeurIPS

paper project

2024

Learning Action-based Representations Using Invariance

Max Rudolph*, Caleb Chuck*, Kevin Black*, Misha Lvovsky, Scott Niekum, Amy Zhang

RLC

paper code

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

ICRA Workshop Workshop on Manipulation Skills

paper

2023

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities

Max Rudolph*, Pierce Howell*, Reza Torbati, Kevin Fu, Harish Ravichandar

CoRL

paper code project

2022

Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation

Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai

CoRL Spotlight at the CoRL 2022 Sim-to-Real Robot Learning workshop

paper

2021

Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation

Max Rudolph, Sonia Chernova, Harish Ravichandar

IROS

paper code

Range Limited Coverage Control using Air-Ground Multi-Robot Teams

Max Rudolph, Sean Wilson, Magnus Egerstedt

ICRA

paper code