policy gradient algorithm
C39058
concept
A policy gradient algorithm is a reinforcement learning method that directly optimizes a parameterized policy by estimating and following the gradient of expected cumulative reward with respect to the policy parameters.
All labels observed (1)
| Label | Occurrences |
|---|---|
| policy gradient algorithm canonical | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: policy gradient algorithm
Generated description
A policy gradient algorithm is a reinforcement learning method that directly optimizes a parameterized policy by estimating and following the gradient of expected cumulative reward with respect to the policy parameters.
Instances (1)
| Instance | Via concept surface |
|---|---|
| REINFORCE | — |