Time-inconsistency in reinforcement learning: an equilibrium control paradigm

Time inconsistency (TIC) describes a situation in which a plan, consisting of current and future actions, that is optimal today may no longer be optimal in the future. In reinforcement learning (RL), TIC often arises as we encode realistic human preferences or specific behaviors into an agent's...

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Bibliographic Details
Main Author: Lesmana, Nixie Sapphira
Other Authors: Patrick Pun Chi Seng
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/173187
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Institution: Nanyang Technological University
Language: English

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