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Bolin Gao
Bolin Gao
Georgia Tech-Shenzhen, School of Electrical and Computer Engineering
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
On the properties of the softmax function with application in game theory and reinforcement learning
B Gao, L Pavel
arXiv preprint arXiv:1704.00805, 2017
3782017
On passivity, reinforcement learning, and higher order learning in multiagent finite games
B Gao, L Pavel
IEEE Transactions on Automatic Control 66 (1), 121-136, 2020
422020
Continuous-time discounted mirror descent dynamics in monotone concave games
B Gao, L Pavel
IEEE Transactions on Automatic Control 66 (11), 5451-5458, 2020
252020
Bandit learning with regularized second-order mirror descent
B Gao, L Pavel
2022 IEEE 61st Conference on Decision and Control (CDC), 5731-5738, 2022
122022
On passivity and reinforcement learning in finite games
B Gao, L Pavel
2018 IEEE Conference on Decision and Control (CDC), 340-345, 2018
92018
Continuous-time convergence rates in potential and monotone games
B Gao, L Pavel
SIAM Journal on Control and Optimization 60 (3), 1712-1731, 2022
72022
Discounted mirror descent dynamics in concave games
B Gao, L Pavel
2019 IEEE 58th Conference on Decision and Control (CDC), 5942-5947, 2019
72019
Second-order mirror descent: Convergence in games beyond averaging and discounting
B Gao, L Pavel
IEEE Transactions on Automatic Control, 2023
32023
Second-order mirror descent: exact convergence beyond strictly stable equilibria in concave games
B Gao, L Pavel
2021 60th IEEE Conference on Decision and Control (CDC), 948-953, 2021
32021
On the rate of convergence of continuous-time game dynamics in N-player potential games
B Gao, L Pavel
2020 59th IEEE Conference on Decision and Control (CDC), 1678-1683, 2020
32020
Agent, Equilibrium and Learning: A Quest Towards Taming the Master Dynamics of Games
B Gao
University of Toronto (Canada), 2022
2022
Higher-Order Game Dynamics in Population Games and Reinforcement Learning
B Gao
University of Toronto (Canada), 2017
2017
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