grant
Risk-Sensitive Reinforcement Learning via Coherent Risk Measures: Framework and Algorithms
Organization University of California-DavisLocation DAVIS, United StatesPosted 1 Oct 2025Deadline 30 Sept 2028
NSFUS FederalResearch GrantScience FoundationCA
Description preview
Reinforcement learning (RL) is an area of machine learning where agents learn from interacting with environment to determine actions. RL tools have been widely used in many different engineering systems such as power grid, wireless communications, and autonomous driving etc. A common goal in these decision-making tasks is to determine an optimal…
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