Bayesian Bellman operators
We introduce a novel perspective on Bayesian reinforcement learning (RL); whereas existing approaches infer a posterior over the transition distribution or Q-function, we characterise the uncertainty in the Bellman operator. Our Bayesian Bellman operator (BBO) framework is motivated by the insight t...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
NeurIPS
2022
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