Aspire Faculty ID #19318 · Topic: UGC NET Computer Science June 2019 (Paper II) · Just now
UGC NET Computer Science June 2019 (Paper II)

Reinforcement learning can be formalized in terms of _____ in which the agent initially only knows the set of possible _____ and the set of possible actions.

Solution

Reinforcement learning is generally formalized using a Markov decision process.

In a Markov decision process, the agent interacts with an environment using states and actions.

The agent knows the set of possible states and the set of possible actions.

Therefore, the blanks are:

Markov decision process, states

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