Webb2 dec. 2015 · On-policy methods estimate the value of a policy while using it for control. In off-policy methods, the policy used to generate behaviour, called the behaviour … WebbOff-policy Monte Carlo control methods use the technique presented in the preceding section for estimating the value function for one policy while following another. They …
5.6 Off-Policy Monte Carlo Control
WebbOff-policy Monte Carlo control methods use the technique presented in the preceding section for estimating the value function for one policy while following another. They follow the behavior policy while learning about and improving the estimation policy. WebbIn this lecture we look at off policy control for monte carlo algorithms via importance sampling. We look at techniques such as discounting aware importance sampling, that help us reduce... cummins college address pune
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WebbOff-policy是一种灵活的方式，如果能找到一个“聪明的”行为策略，总是能为算法提供最合适的样本，那么算法的效率将会得到提升。 我最喜欢的一句解释off-policy的话是：the learning is from the data off the target policy （引自《Reinforcement Learning An Introduction》）。 也就是说RL算法中，数据来源于一个单独的用于探索的策略 (不是 … http://www.incompleteideas.net/book/first/ebook/node56.html#:~:text=Off-policy%20Monte%20Carlo%20control%20methods%20use%20the%20technique,while%20learning%20about%20and%20improving%20the%20estimation%20policy. WebbIn part 2 of teaching an AI to play blackjack, using the environment from the OpenAI Gym, we use off-policy Monte Carlo control.The idea here is that we use ... cummins college pune address