def read_real_data(self, sample_shape, batch_feed):
action_data_feed = one_hot_embedding(batch_feed['action_id'],
self.config.action_num)
real_state_rep = self.np2var(batch_feed['state_table'], LONG)
real_state_rep = one_hot_embedding(real_state_rep.view(-1),
self.config.bucket_num).view(
-1, self.state_out_size)
return real_state_rep, action_data_feed
def policy_validate_for_human(self, sample_shape, batch_feed):
action_data_feed = one_hot_embedding(batch_feed['action_id'],
self.config.action_num)
batch_size = sample_shape[0]
real_state_rep = self.context_encoder(batch_feed).detach()
policy_prob = self.policy_validate(real_state_rep, action_data_feed)
return policy_prob.detach()
def read_real_data(self, sample_shape, batch_feed):
action_data_feed = one_hot_embedding(batch_feed['action_id'], self.config.action_num)
if self.config.state_type=='rnn':
real_state_rep = self.context_encoder(batch_feed).detach()
elif self.config.state_type=='table':
real_state_rep = self.np2var(batch_feed['state_table'], FLOAT)
return real_state_rep, action_data_feed
def read_real_data_onehot_300(self, sample_shape, batch_feed):
action_data_feed = one_hot_embedding(batch_feed['action_id'], 300)
action_rep_seg = self.np2var(batch_feed['action_rep_seg'],
FLOAT).view(-1, 100)
real_state_rep = self.np2var(batch_feed['state_convlab'],
FLOAT).view(-1, self.state_out_size)
return real_state_rep, action_rep_seg
