def __init__(self, n_actions, n_input_channels=4,
activation=F.relu, bias=0.1):
self.n_actions = n_actions
self.n_input_channels = n_input_channels
self.activation = activation
super().__init__()
with self.init_scope():
self.conv_layers = chainer.ChainList(
L.Convolution2D(n_input_channels, 32, 8, stride=4,
initial_bias=bias),
L.Convolution2D(32, 64, 4, stride=2, initial_bias=bias),
L.Convolution2D(64, 64, 3, stride=1, initial_bias=bias))
self.a_stream = MLP(3136, n_actions, [512])
self.v_stream = MLP(3136, 1, [512])
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