Qinbo Bai - RankMe

24 papers A* 4A 2Misc 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm. CoRR Yang Xu, Swetha Ganesh, Washim Uddin Mondal, Qinbo Bai, Vaneet Aggarwal
2024	J	`jnl`	Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
2024	J	`jnl`	Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
2024	A*	`conf`	Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. NeurIPS Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2024	J	`jnl`	Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2024	A*	`conf`	Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2023	J	`jnl`	A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2023	A*	`conf`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. AAAI Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal
2023	J	`jnl`	Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints. J. Mach. Learn. Res. Qinbo Bai, Vaneet Aggarwal, Ather Gattami
2023	J	`jnl`	Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
2022	J	`jnl`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. CoRR Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal
2022	A*	`conf`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
2022	J	`jnl`	Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2022	J	`jnl`	Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. J. Artif. Intell. Res. Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2022	A	`conf`	Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2021	J	`jnl`	Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal
2021	J	`jnl`	Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2021	J	`jnl`	Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2021	J	`jnl`	Markov Decision Processes with Long-Term Average Constraints. CoRR Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
2021	A	`conf`	Reinforcement Learning for Constrained Markov Decision Processes. AISTATS Ather Gattami, Qinbo Bai, Vaneet Aggarwal
2020	J	`jnl`	Deep Learning-Based Channel Estimation Algorithm Over Time Selective Fading Channels. IEEE Trans. Cogn. Commun. Netw. Qinbo Bai, Jintao Wang, Yue Zhang, Jian Song
2020	Misc	`conf`	Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
2020	J	`jnl`	Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. CoRR Qinbo Bai, Ather Gattami, Vaneet Aggarwal
2019	J	`jnl`	Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal