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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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173187 |