
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Modular Deep Reinforcement Learning for Continuous Motion Planning With Temporal Logic
Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 7973-7980
Open Access | Times Cited: 18
Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 7973-7980
Open Access | Times Cited: 18
Showing 18 citing articles:
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, et al.
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 173-208
Open Access | Times Cited: 112
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, et al.
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 173-208
Open Access | Times Cited: 112
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 2369-2375
Open Access | Times Cited: 29
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 2369-2375
Open Access | Times Cited: 29
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
arXiv (Cornell University) (2021)
Open Access | Times Cited: 18
Fabian Hart, Ostap Okhrin, Martin Treiber
arXiv (Cornell University) (2021)
Open Access | Times Cited: 18
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Zhe Xu, Bo Wu, Aditya Ojha, et al.
Lecture notes in computer science (2021), pp. 115-135
Open Access | Times Cited: 17
Zhe Xu, Bo Wu, Aditya Ojha, et al.
Lecture notes in computer science (2021), pp. 115-135
Open Access | Times Cited: 17
Deep Reinforcement Learning-Based Effective Coverage Control With Connectivity Constraints
Shaofeng Meng, Zhen Kan
IEEE Control Systems Letters (2021) Vol. 6, pp. 283-288
Closed Access | Times Cited: 13
Shaofeng Meng, Zhen Kan
IEEE Control Systems Letters (2021) Vol. 6, pp. 283-288
Closed Access | Times Cited: 13
Online Motion Planning With Soft Metric Interval Temporal Logic in Unknown Dynamic Environment
Zhiliang Li, Mingyu Cai, Shaoping Xiao, et al.
IEEE Control Systems Letters (2022) Vol. 6, pp. 2293-2298
Open Access | Times Cited: 8
Zhiliang Li, Mingyu Cai, Shaoping Xiao, et al.
IEEE Control Systems Letters (2022) Vol. 6, pp. 2293-2298
Open Access | Times Cited: 8
Grounding LTLf Specifications in Image Sequences
Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
(2023), pp. 668-678
Open Access | Times Cited: 4
Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
(2023), pp. 668-678
Open Access | Times Cited: 4
Symbolic Task Inference in Deep Reinforcement Learning
Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, et al.
Journal of Artificial Intelligence Research (2024) Vol. 80, pp. 1099-1137
Open Access | Times Cited: 1
Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, et al.
Journal of Artificial Intelligence Research (2024) Vol. 80, pp. 1099-1137
Open Access | Times Cited: 1
Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints.
Mingyu Cai, Zhijun Li, Hongbo Gao, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 8
Mingyu Cai, Zhijun Li, Hongbo Gao, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 8
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao, Marta Kwiatkowska
(2023), pp. 4180-4189
Open Access | Times Cited: 2
Daqian Shao, Marta Kwiatkowska
(2023), pp. 4180-4189
Open Access | Times Cited: 2
Safety-Critical Modular Deep Reinforcement Learning with Temporal Logic through Gaussian Processes and Control Barrier Functions
Mingyu Cai, Cristian-Ioan Vasile
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Mingyu Cai, Cristian-Ioan Vasile
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta, Hosein Hasanbeig, Jun Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21412-21419
Open Access
Rohan Mitta, Hosein Hasanbeig, Jun Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21412-21419
Open Access
Non-Parametric Neuro-Adaptive Control Subject to Task Specifications
Christos K. Verginis, Zhe Xu, Ufuk Topcu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Christos K. Verginis, Zhe Xu, Ufuk Topcu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Zhe Xu, Bo Wu, Aditya Ojha, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Zhe Xu, Bo Wu, Aditya Ojha, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Online Motion Planning with Soft Timed Temporal Logic in Dynamic and Unknown Environment.
Zhiliang Li, Mingyu Cai, Shaoping Xiao, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Zhiliang Li, Mingyu Cai, Shaoping Xiao, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Proceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design
Lisa O'conner, Hou Seng Wong, Ndt Ma, et al.
(2023)
Open Access
Lisa O'conner, Hou Seng Wong, Ndt Ma, et al.
(2023)
Open Access