Qinbo Bai

According to our database, Qinbo Bai authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms.

Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai

Found. Trends Optim., 2024

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm.

Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes.

Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints.

Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu

IEEE Trans. Veh. Technol., May, 2023

Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints.

Qinbo Bai, Vaneet Aggarwal, Ather Gattami

J. Mach. Learn. Res., 2023

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm.

Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Concave Utility Reinforcement Learning with Zero-Constraint Violations.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Trans. Mach. Learn. Res., 2022

Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

J. Artif. Intell. Res., 2022

Regret guarantees for model-based reinforcement learning with long-term average constraints.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach.

Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

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

2021

Markov Decision Processes with Long-Term Average Constraints.

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

CoRR, 2021

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

CoRR, 2021

Reinforcement Learning for Constrained Markov Decision Processes.

Ather Gattami, Qinbo Bai, Vaneet Aggarwal

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Deep Learning-Based Channel Estimation Algorithm Over Time Selective Fading Channels.

Qinbo Bai, Jintao Wang, Yue Zhang, Jian Song

IEEE Trans. Cogn. Commun. Netw., 2020

Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints.

Qinbo Bai, Ather Gattami, Vaneet Aggarwal

CoRR, 2020

Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019

Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent.

Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

CoRR, 2019