Članci s nalozima za javni pristup - Yuhao DingSaznajte više
Dostupno negdje: 16
A dual approach to constrained markov decision processes with entropy regularization
D Ying, Y Ding, J Lavaei
International Conference on Artificial Intelligence and Statistics, 1887-1909, 2022
Nalozi: US National Science Foundation, US Department of Defense
Provably efficient primal-dual reinforcement learning for CMDPs with non-stationary objectives and constraints
Y Ding, J Lavaei
AAAI Conference on Artificial Intelligence (AAAI), 2023
Nalozi: US National Science Foundation, US Department of Defense
On the Global Optimum Convergence of Momentum-based Policy Gradient
Y Ding, J Zhang, J Lavaei
International Conference on Artificial Intelligence and Statistics, 1910-1934, 2022
Nalozi: US National Science Foundation, US Department of Defense
Optimal input design for affine model discrimination with applications in intention-aware vehicles
Y Ding, F Harirchi, SZ Yong, E Jacobsen, N Ozay
2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS …, 2018
Nalozi: US Department of Defense, US National Aeronautics and Space Administration
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
D Ying, Y Zhang, Y Ding, A Koppel, J Lavaei
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Nalozi: US National Science Foundation, US Department of Defense
Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes
D Ying, M Guo, Y Ding, J Lavaei
AAAI Conference on Artificial Intelligence (AAAI), 2023
Nalozi: US National Science Foundation, US Department of Defense
Escaping spurious local minimum trajectories in online time-varying nonconvex optimization
Y Ding, J Lavaei, M Arcak
2021 American control conference (ACC), 2021
Nalozi: US National Science Foundation, US Department of Defense
On the Absence of Spurious Local Trajectories in Time-varying Nonconvex Optimization
S Fattahi, C Josz, Y Ding, RM Ghazi, J Lavaei, S Sojoudi
IEEE Transactions on Automatic Control, 2021
Nalozi: US National Science Foundation, US Department of Defense
Time-variation in online nonconvex optimization enables escaping from spurious local minima
Y Ding, J Lavaei, M Arcak
IEEE Transactions on Automatic Control, 2021
Nalozi: US National Science Foundation, US Department of Defense
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design
Y Ding, M Jin, J Lavaei
AAAI Conference on Artificial Intelligence (AAAI), 2023
Nalozi: US National Science Foundation, US Department of Defense
Tempo Adaption in Non-stationary Reinforcement Learning
H Lee, Y Ding, J Lee, M Jin, J Lavaei, S Sojoudi
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Nalozi: US National Science Foundation, US Department of Defense
Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods
Y Ding, J Zhang, J Lavaei
European Control Conference (ECC), 2023
Nalozi: US National Science Foundation, US Department of Defense
Scalable Multi-Agent Reinforcement Learning with General Utilities
D Ying, Y Ding, A Koppel, J Lavaei
American Control Conference, 2023
Nalozi: US National Science Foundation, US Department of Defense
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
S Gu, B Sel, Y Ding, L Wang, Q Lin, A Knoll, M Jin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Nalozi: European Commission
Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback
Y Ding, J Lavaei
2021 IEEE conference on Decision and Control (CDC), 2021
Nalozi: US National Science Foundation, US Department of Defense
Analysis of Spurious Local Solutions of Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming
Y Ding, Y Bi, J Lavaei
2021 American control conference (ACC), 2021
Nalozi: US National Science Foundation, US Department of Defense
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