Constrained Cross-Entropy Method for Safe Reinforcement Learning

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Wen, Min, and Ufuk Topcu. “Constrained Cross-Entropy Method for Safe Reinforcement Learning”. IEEE Transactions on Automatic Control, vol. 66, no. 7, 2021, pp. 3123-37, https://doi.org/10.1109/tac.2020.3015931.
Wen, M., & Topcu, U. (2021). Constrained Cross-Entropy Method for Safe Reinforcement Learning. IEEE Transactions on Automatic Control, 66(7), 3123-3137. https://doi.org/10.1109/tac.2020.3015931
Wen, Min, and Ufuk Topcu. “Constrained Cross-Entropy Method for Safe Reinforcement Learning”. IEEE Transactions on Automatic Control 66, no. 7 (2021): 3123-37. https://doi.org/10.1109/tac.2020.3015931.
Wen M, Topcu U. Constrained Cross-Entropy Method for Safe Reinforcement Learning. IEEE Transactions on Automatic Control. 2021;66(7):3123-37.
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Citations
Title Journal Journal Categories Citations Publication Date
Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping IEEE Transactions on Neural Networks and Learning Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping and was published in 2024. The most recent citation comes from a 2024 study titled Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the IEEE Transactions on Neural Networks and Learning Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year