class_docstr: Greedy algorithm, which always chooses the best arm played so far
  Arms that haven't been played yet are given priority by assigning inf score
  Ties are resolved in favor of the arm with the smallest index.
class_docstr_tok: ["Greedy","algorithm",",","which","always","chooses","the","best","arm","played","so","far","Arms","that","have","n't","been","played","yet","are","given","priority","by","assigning","inf","score","Ties","are","resolved","in","favor","of","the","arm","with","the","smallest","index","."]
code: def get_scores(self) -> Tensor:
      return self.get_avg_reward_values()
  
imports: from abc import ABC, abstractmethod
  from typing import List, Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 1 for calling the GreedyAlgo obj's underlying member method code with example usage: obj.get_scores() and returns: self