Bayesian and variational inference for reinforcement learning
<p>This thesis explores Bayesian and variational inference in the context of solving the reinforcement learning (RL) problem. Recent advances in developing state-ofthe-art algorithms suitable for continuous control introduce regularisation into the reinforcement learning objective. Analysis h...
Main Author: | Fellows, M |
---|---|
Other Authors: | Whiteson, S |
Format: | Thesis |
Language: | English |
Published: |
2021
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Subjects: |
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