Understanding Generalization Through Visualizations. - W. Ronny Huang; Zeyad Emam; Micah Goldblum; Liam Fowl; Justin K. Terry; Furong Huang; Tom Goldstein (ICBINB@NeurIPS, 2020)

Parameter Sharing For Heterogeneous Agents in Multi-Agent Reinforcement Learning. - Justin K. Terry; Nathaniel Grammel; Sanghyun Son 003; Benjamin Black (CoRR, 2020)

SuperSuit: Simple Microwrappers for Reinforcement Learning Environments. - Justin K. Terry; Benjamin Black; Ananth Hari (CoRR, 2020)

Multiplayer Support for the Arcade Learning Environment. - Justin K. Terry; Benjamin Black (CoRR, 2020)

PettingZoo: Gym for Multi-Agent Reinforcement Learning. - Justin K. Terry; Benjamin Black; Ananth Hari; Luis S. Santos; Clemens Dieffendahl; Niall L. Williams; Yashas Lokesh; Caroline Horsch; Praveen Ravi (CoRR, 2020)

PettingZoo: Gym for Multi-Agent Reinforcement Learning. - Justin K. Terry; Benjamin Black; Nathaniel Grammel; Mario Jayakumar; Ananth Hari; Ryan Sullivan; Luis S. Santos; Clemens Dieffendahl; Caroline Horsch; Rodrigo Perez-Vicente; Niall L. Williams; Yashas Lokesh; et al. (NeurIPS, 2021)

Statistically Significant Stopping of Neural Network Training. - Justin K. Terry; Mario Jayakumar; Kusal De Alwis (CoRR, 2021)

Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments. - Ryan Sullivan; Justin K. Terry; Benjamin Black; John P. Dickerson (CoRR, 2022)