Online Course Support | Practical Reinforcement Learning

What are the differences between model-free and model-based settings?

ByAdmin October 9, 2021October 9, 2021

In a model-based setting, we know nothing about environment dynamics. An agent is learning by optimizing some parametric model.

In a model-based setting, we can find out which (reward, next state) pairs are possible given current state and action.

In a model-free setting, we know nothing about environment dynamics. Optimization of agent decisions is based solely on sample-based experiences of the world.

Model-free learning requires probabilities of possible next states and rewards but does not require a sample model (aka simulator, aka generative model)

In a model-free setting, we know which (reward, next state) pairs are possible given current state and action.

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For long episodes and very short planning time RP should be as fast as possible, TP can be much slower.

RP and TP are conflicting policies — the one that performs the best becomes the final result of planning.

Random RP is best, since improving the quality of RP may reduce the quality of MCTS planning.

MCTS is relatively insensitive to the quality of RP. So we can use random RP, but it is always better to make RP as good as possible.

For long episodes and short planning time TP should be as fast as possible, RP can be much slower.

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What are the differences between model-free and model-based settings?

2.

4.

What should you do in an escalation email? Select all that apply.

A consumer buys either burgers or hot dogs and does not prefer one over the other. Given a market for burgers, an increase in the price of hot dogs will cause the demand curve for burgers shifts to the left.

A hands-on training firm provides renowned personalized service. Its tech team is working on a low-touch web interface to provide online training, save costs, and scale growth. What threatens the sustainability of the competitive advantage the new interface might provide?

Earthbound Farm dominates the growing organic produce market in the United States, selling nationally at markets such as Costco and Whole Foods. As an analyst, how might you describe their threat of rivalry within the organic produce market?

You may want to hire an accountant earlier if ___.

What is the ultimate goal of the many analytics measures available to analysts?

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