Gosavi, A., Sneed, L. H., & Spearing, L. A. (2024). Deep reinforcement learning for approximate policy iteration: Convergence analysis and a post-earthquake disaster response case study. Optimization Letters, 18(9), 2033. https://doi.org/10.1007/s11590-023-02062-0
Chicago Style (17th ed.) CitationGosavi, A., L. H. Sneed, and L. A. Spearing. "Deep Reinforcement Learning for Approximate Policy Iteration: Convergence Analysis and a Post-earthquake Disaster Response Case Study." Optimization Letters 18, no. 9 (2024): 2033. https://doi.org/10.1007/s11590-023-02062-0.
MLA (9th ed.) CitationGosavi, A., et al. "Deep Reinforcement Learning for Approximate Policy Iteration: Convergence Analysis and a Post-earthquake Disaster Response Case Study." Optimization Letters, vol. 18, no. 9, 2024, p. 2033, https://doi.org/10.1007/s11590-023-02062-0.