class_docstr: Policy represented by a MLP.
docstr: Compute actions for given observations.
docstr_tok: ["Compute","actions","for","given","observations","."]
code: def forward(self, x):
      """Compute actions for given observations."""
      h = F.relu(self.l0(x))
      h = F.relu(self.l1(h))
      return squash(
          self.l2(h),
          self.xp.asarray(self.action_low),
          self.xp.asarray(self.action_high),
      )
  
imports: from __future__ import division
  import argparse
  import collections
  import copy
  import random
  import warnings
  import gym
  import numpy
  import chainer
  from chainer import functions
  from chainer import links
  from chainer import optimizers
label_desc: Use image node_id 2 for calling the Policy obj's underlying member method code with example usage: obj.forward(x) and returns: squash