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40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import numpy as np
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from agents.imitation_agent import ImitationAgent
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# Behavioral Cloning Agent
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class BCAgent(ImitationAgent):
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def __init__(self, env, tuning_parameters, replicated_device=None, thread_id=0):
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ImitationAgent.__init__(self, env, tuning_parameters, replicated_device, thread_id)
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def learn_from_batch(self, batch):
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current_states, _, actions, _, _, _ = self.extract_batch(batch)
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# the targets for the network are the actions since this is supervised learning
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if self.env.discrete_controls:
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targets = np.eye(self.env.action_space_size)[[actions]]
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else:
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targets = actions
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result = self.main_network.train_and_sync_networks(current_states, targets)
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total_loss = result[0]
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return total_loss
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