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Benjamin Chasnov
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Implicit learning dynamics in stackelberg games: Equilibria characterization, convergence analysis, and empirical study
T Fiez, B Chasnov, L Ratliff
International Conference on Machine Learning, 3133-3144, 2020
1142020
Convergence of learning dynamics in stackelberg games
T Fiez, B Chasnov, LJ Ratliff
arXiv preprint arXiv:1906.01217, 2019
952019
Stackelberg actor-critic: Game-theoretic reinforcement learning algorithms
L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff
Proceedings of the AAAI conference on artificial intelligence 36 (8), 9217-9224, 2022
382022
Convergence analysis of gradient-based learning in continuous games
B Chasnov, L Ratliff, E Mazumdar, S Burden
Uncertainty in artificial intelligence, 935-944, 2020
332020
Stackelberg policy gradient: evaluating the performance of leaders and followers
QL Vu, Z Alumbaugh, R Ching, Q Ding, A Mahajan, B Chasnov, S Burden, ...
ICLR 2022 Workshop on Gamification and Multiagent Solutions, 2022
112022
Convergence analysis of gradient-based learning with non-uniform learning rates in non-cooperative multi-agent settings
B Chasnov, LJ Ratliff, E Mazumdar, SA Burden
arXiv preprint arXiv:1906.00731, 2019
112019
Stackelberg actor-critic: A game-theoretic perspective
L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff
AAAI Workshop on Reinforcement Learning and Games, 2021
72021
Convergence of learning dynamics in Stackelberg games (2019)
T Fiez, B Chasnov, LJ Ratliff
arXiv preprint arXiv:1906.01217 12, 1906
61906
Opponent Anticipation via Conjectural Variations
B Chasnov, T Fiez, L Ratliff
42019
Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces
BJ Chasnov, D Calderone, B Acikmese, SA Burden, LJ Ratliff
IEEE Conference on Decision and Control, 2020
32020
Experiments with sensorimotor games in dynamic human/machine interaction
B Chasnov, M Yamagami, B Parsa, LJ Ratliff, SA Burden
Micro-and Nanotechnology Sensors, Systems, and Applications XI 10982, 344-352, 2019
32019
Human adaptation to adaptive machines converges to game-theoretic equilibria
BJ Chasnov, LJ Ratliff, SA Burden
arXiv preprint arXiv:2305.01124, 2023
22023
Consistent Conjectural Variations Equilibria: Characterization & Stability for a Class of Continuous Games
DJ Calderone, BJ Chasnov, SA Burden, LJ Ratliff
IEEE Control Systems Letters, 2023
12023
Visual Modeling System for Optimization-Based Real-Time Trajectory Planning for Autonomous Aerial Drones
S Mceowen, D Sullivan, D Calderone, M Szmuk, O Sheridan, B Açıkmeşe, ...
2022 IEEE Aerospace Conference (AERO), 1-9, 2022
12022
Characterizing equilibria in stackelberg games
T Fiez, B Chasnov, LJ Ratliff
Smooth Games Optimization and Machine Learning Workshop at NeurIPS 2019 …, 2019
12019
Gradient Conjectures for Strategic Multi-Agent Learning
B Chasnov, T Fiez, LJ Ratliff
12019
Co-adaptation improves performance in a dynamic human-machine interface
M Yamagami, M Madduri, BJ Chasnov, AHY Chou, LN Peterson, ...
bioRxiv, 2023.07. 14.549053, 2023
2023
Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces
BJ Chasnov, D Calderone, B Açıkmeşe, SA Burden, LJ Ratliff
arXiv preprint arXiv:2011.05562, 2020
2020
Finite-Time Convergence of Gradient-Based Learning in Continuous Games
B Chasnov, LJ Ratliff, D Calderone, E Mazumdar, SA Burden
2019
Human adaptation to adaptive machines
BJ Chasnov, LJ Ratliff, SA Burden
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