default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQinbo Bai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j6]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6(4): 193-298 (2024)- 2023
- [j5]Qinbo Bai, Vaneet Aggarwal, Ather Gattami:
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints. J. Mach. Learn. Res. 24: 60:1-60:25 (2023) - [j4]Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan
, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. 72(5): 6753-6764 (2023) - 2022
- [j3]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. J. Artif. Intell. Res. 74: 1565-1597 (2022) - [j2]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. 2022 (2022) - 2020
- [j1]Qinbo Bai, Jintao Wang, Yue Zhang, Jian Song:
Deep Learning-Based Channel Estimation Algorithm Over Time Selective Fading Channels. IEEE Trans. Cogn. Commun. Netw. 6(1): 125-134 (2020)
Conference and Workshop Papers
- 2024
- [c7]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI 2024: 10980-10988 - [c6]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. NeurIPS 2024 - 2023
- [c5]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. AAAI 2023: 6737-6744 - 2022
- [c4]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI 2022: 3682-3689 - [c3]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI 2022: 22-31 - 2021
- [c2]Ather Gattami, Qinbo Bai, Vaneet Aggarwal:
Reinforcement Learning for Constrained Markov Decision Processes. AISTATS 2021: 2656-2664 - 2020
- [c1]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS 2020: 1-6
Informal and Other Publications
- 2024
- [i10]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR abs/2402.02042 (2024) - [i9]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR abs/2406.11481 (2024) - 2023
- [i8]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR abs/2309.01922 (2023) - 2022
- [i7]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. CoRR abs/2206.05850 (2022) - 2021
- [i6]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR abs/2105.14125 (2021) - [i5]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Markov Decision Processes with Long-Term Average Constraints. CoRR abs/2106.06680 (2021) - [i4]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR abs/2109.05439 (2021) - [i3]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR abs/2109.06332 (2021) - 2020
- [i2]Qinbo Bai, Ather Gattami, Vaneet Aggarwal:
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. CoRR abs/2003.05555 (2020) - 2019
- [i1]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR abs/1910.01277 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-15 01:22 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
