Justin K. Terry

According to our database, Justin K. Terry authored at least 8 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments.

Ryan Sullivan, Justin K. Terry, Benjamin Black, John P. Dickerson

CoRR, 2022

2021

Statistically Significant Stopping of Neural Network Training.

Justin K. Terry, Mario Jayakumar, Kusal De Alwis

CoRR, 2021

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, Praveen Ravi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Multiplayer Support for the Arcade Learning Environment.

Justin K. Terry, Benjamin Black

CoRR, 2020

SuperSuit: Simple Microwrappers for Reinforcement Learning Environments.

Justin K. Terry, Benjamin Black, Ananth Hari

CoRR, 2020

Parameter Sharing For Heterogeneous Agents in Multi-Agent Reinforcement Learning.

Justin K. Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black

CoRR, 2020

Understanding Generalization Through Visualizations.

W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020