Range Limited Coverage Control using Air-Ground Multi-Robot Teams. - Max Rudolph; Sean Wilson; Magnus Egerstedt (ICRA, 2021)

Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. - Max Rudolph; Sonia Chernova; Harish Ravichandar (IROS, 2021)

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, 2022)

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. - Pierce Howell; Max Rudolph; Reza Joseph Torbati; Kevin Fu; Harish Ravichandar (CoRL, 2023)

Learning Action-based Representations Using Invariance. - Max Rudolph; Caleb Chuck; Kevin Black; Misha Lvovsky; Scott Niekum; Amy Zhang 001 (RLJ, 2024)

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. - Caleb Chuck; Carl Qi; Michael J. Munje; Shuozhe Li; Max Rudolph; Chang Shi; Siddhant Agarwal; Harshit Sikchi; Abhinav Peri; Sarthak Dayal; Evan Kuo; Kavan Mehta; et al. (CoRR, 2024)

RL Zero: Zero-Shot Language to Behaviors without any Supervision. - Harshit Sikchi; Siddhant Agarwal; Pranaya Jajoo; Samyak Parajuli; Caleb Chuck; Max Rudolph; Peter Stone 001; Amy Zhang 001; Scott Niekum (CoRR, 2024)

Reevaluating Policy Gradient Methods for Imperfect-Information Games. - Max Rudolph; Nathan Lichtle; Sobhan Mohammadpour; Alexandre M. Bayen; J. Zico Kolter; Amy Zhang 001; Gabriele Farina; Eugene Vinitsky; Samuel Sokota (CoRR, 2025)