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.

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What are different types of planning?

3.

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5.

Order the following probability distributions from lowest to highest entropy:

All of the following are examples of stakeholder liquidity or exits EXCEPT ___.

The Larmor frequency is defined by

Follow-up letters notes can play a critical role in your being chosen for a position.

Benchmarking is the only way to test your pricing.

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