class_docstr: An example of A3C feedforward mellowmax policy.
class_docstr_tok: ["An","example","of","A3C","feedforward","mellowmax","policy","."]
code: def __init__(self, ndim_obs, n_actions, hidden_sizes=(200, 200)):
      self.pi = policies.MellowmaxPolicy(
          model=links.MLP(ndim_obs, n_actions, hidden_sizes)
      )
      self.v = links.MLP(ndim_obs, 1, hidden_sizes=hidden_sizes)
      super().__init__(self.pi, self.v)
  
imports: import argparse
  import os
  import chainer
  from chainer import functions
  from chainer import links
  import gym
  import numpy
  import chainerrl
  from chainerrl.agents import a3c
  from chainerrl import experiments
  from chainerrl import links
  from chainerrl import misc
  from chainerrl.optimizers.nonbias_weight_decay import NonbiasWeightDecay
  from chainerrl.optimizers import rmsprop_async
  from chainerrl import policies
  from chainerrl.recurrent import RecurrentChainMixin
  from chainerrl import v_function
label_desc: Use image node_id 1 to create a new A3CFFMellowmax object from inherited base classes: chainer, a3c with example: obj = A3CFFMellowmax(ndim_obs, n_actions, hidden_sizes)