Benjamin Chasnov

According to our database, Benjamin Chasnov authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game.

Jason T. Isa, Bohan Wu, Qirui Wang, Yilin Zhang, Samuel A. Burden, Lillian J. Ratliff, Benjamin J. Chasnov

CoRR, 2024

2023

Consistent Conjectural Variations Equilibria: Characterization and Stability for a Class of Continuous Games.

Daniel J. Calderone, Benjamin J. Chasnov, Samuel A. Burden, Lillian J. Ratliff

IEEE Control. Syst. Lett., 2023

Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games.

Daniel J. Calderone, Benjamin J. Chasnov, Samuel A. Burden, Lillian J. Ratliff

CoRR, 2023

Human adaptation to adaptive machines converges to game-theoretic equilibria.

Benjamin J. Chasnov, Lillian J. Ratliff, Samuel A. Burden

CoRR, 2023

2022

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.

Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces.

Benjamin J. Chasnov, Daniel J. Calderone, Behçet Açikmese, Samuel A. Burden, Lillian J. Ratliff

CoRR, 2020

Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study.

Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff

Proceedings of the 37th International Conference on Machine Learning, 2020

Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces.

Benjamin J. Chasnov, Daniel J. Calderone, Behçet Açikmese, Samuel A. Burden, Lillian J. Ratliff

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Convergence of Learning Dynamics in Stackelberg Games.

Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff

CoRR, 2019

Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings.

Benjamin Chasnov, Lillian J. Ratliff, Eric Mazumdar, Samuel A. Burden

CoRR, 2019

Convergence Analysis of Gradient-Based Learning in Continuous Games.

Benjamin Chasnov, Lillian J. Ratliff, Eric Mazumdar, Samuel Burden

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019