Selected Research 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 2026 RLC 2025-CoCoMARL Workshop, Oral paper / code / exploitability library / game demo 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 2025 paper / project page Learning Action-based Representations Using Invariance Max Rudolph*, Caleb Chuck*, Kevin Black*, Misha Lvovsky, Scott Niekum, Amy Zhang Reinforcement Learning Conference, 2024 paper / code Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation Joanne Truong, Max Rudolph, Naoki Yokoyama, Sonia Chernova, Dhruv Batra, Akshara Rai Conference on Robot Learning (CoRL), 2022 CoRL, 2022– Sim-to-Real Robot Learning: Locomotion and Beyond Workshop, Spotlight paper
