class_docstr: Agents that plays slighlty better than random on the 007 game.
class_docstr_tok: ["Agents","that","plays","slighlty","better","than","random","on","the","007","game","."]
code: def __init__(self, env: AnyEnv) -> None:
      self.env = env
      assert isinstance(env, envs.DoubleOSeven) or (
          isinstance(env, base.SingleAgentEnv)
          and isinstance(env.env, envs.DoubleOSeven)
      )
  
imports: import warnings
  import operator
  import copy
  import typing
  import gym
  import numpy
  from nevergrad.common.tools import pytorch_import_fix
  from nevergrad.parametrization import parameter
  from ..base import ExperimentFunction
  from .None import base
  from .None import envs
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils.data import WeightedRandomSampler
label_desc: Use image node_id 1 to create a new Agent007 object from inherited base classes: base with example: obj = Agent007(env)