Online Course Support | Practical Reinforcement Learning

What are different types of planning?

ByAdmin October 9, 2021October 9, 2021

Background planning starts after an agent’s transition into a new state; it is used to select an optimal action for the current state only.

Decision time planning starts after an agent’s transition into a new state; it is used to select an optimal action for the current state only.

Decision time planning is synonymous to model-free learning from precollected samples of the given environment model with the goal to improve policy / value function in all the sampled states .

Background planning is synonymous to model-free learning from precollected samples of the given environment model with the goal to improve policy / value function in all the sampled states .

The backup phase of MCTS performs Policy Evaluation: it makes value estimates in tree nodes consistent with the compound policy (rollout + tree policy)

The MAX action selection strategy (classic MCTS) is an instance of Policy Improvement — greedy action selection with respect to action-value function.

MCTS uses binary search to select the best action in each node in the tree since it is the fastest strategy out there.

MCTS balances between exploration and exploitation by treating action selection in each node as an independent multiarmed bandit problem.

Preserving action-value function estimates in tree nodes after a transition into a next state is a heuristic: in the new state policy changes, so values are not valid anymore.

Online Course Support | People Analytics

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Online Course Support | Qualitative Research

Suppose a client asked you to find the opinions and preferences of registered voters over the age of 70 regarding their candidate’s stated views on an issue. Which would you choose?
ByAdmin September 22, 2021September 22, 2021

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ByAdmin September 18, 2021September 18, 2021

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