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A Bayesian Posterior Updating Algorithm in Reinforcement ...
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由 F Xiong 著作2017 — In this paper, we propose a novel idea to adjust immediate rewards slightly in the process of Bayesian Q-learning updating by introducing a ...
有關 A Bayesian Posterior Updating Algorithm in Reinforcement Learning. 的學術文章 | |
Bayesian reinforcement learning - Vlassis - 104 個引述 … posterior sampling for preference-based reinforcement … - Novoseller - 65 個引述 … better than optimism for reinforcement learning? - Osband - 284 個引述 | |
A Bayesian Posterior Updating Algorithm in Reinforcement ...
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In this paper, we propose a novel idea to adjust immediate rewards slightly in the process of Bayesian Q-learning updating by introducing a state pool technique ...
A Bayesian Posterior Updating Algorithm in Reinforcement ...
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A Bayesian Posterior Updating Algorithm in Reinforcement Learning. Fang-Zhou ... A Bayesian Posterior Updating Algorithm in Reinforcement Learning[C],2017.
[PDF] Bayesian Reinforcement Learning
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A Bayesian Posterior Updating Algorithm in Reinforcement Learning · Fangzhou ... This work presents a modular approach to reinforcement learning that uses a ...
Reinforcement Learning with Multiple Experts: A Bayesian ...
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由 M Gimelfarb 著作被引用 32 次 — This leads to a very efficient O(N) algorithm for posterior updates given in Algorithm 1. ... the Bayesian model combination approach and assigned posterior ...
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Bayesian Exploration in Deep Reinforcement Learning
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由 L Killingberg 著作2023被引用 1 次 — Abstract. Posterior sampling of value functions can give efficient exploration for value-based reinforcement learning algorithms.
14 頁
Walking the Values in Bayesian Inverse Reinforcement ...
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由 O Bajgar 著作被引用 1 次 — This paper proposes ValueWalk, an algorithm to do Bayesian Inverse RL. Instead of computing a posterior over the reward function, and then using ...
Bayesian reinforcement learning: A basic overview
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由 P Kang 著作2024被引用 3 次 — The posterior is then adjusted in the light of how the generative model indicates the environment might change and forms the prior for the next observation. The ...
[PDF] A Bayesian Framework for Reinforcement Learning
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This work presents a modular approach to reinforcement learning that uses a Bayesian ... A Bayesian Posterior Updating Algorithm in Reinforcement Learning.
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Bayesian Reinforcement Learning
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由 N Vlassis 著作2012被引用 104 次 — When the posterior mo- ments of the gradient of the expected return are available, a Bayesian actor-critic. (BAC) algorithm can be easily ...
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