tree: 8e49e1fce0150aed4e1a120ce49b8168f3ee7caa [path history] [tgz]
  1. README.md
  2. atari_game.py
  3. base.py
  4. dqn_demo.py
  5. dqn_run_test.py
  6. game.py
  7. operators.py
  8. replay_memory.py
  9. utils.py
example/reinforcement-learning/dqn/README.md

ÿþD�Q�N� �E�x�a�m�p�l�e� �i�n� �M�X�N�e�t� � �=�=�=�=�=�=�=�=�=�=�=�=�=�=�=�=�=�=�=�=� � � � � � �#�#�#� �H�o�w� �t�o� �I�n�s�t�a�l�l� � �I�n�s�t�a�l�l� �t�h�e� �d�e�v�e�l�o�p�m�e�n�t� �v�e�r�s�i�o�n� �o�f� �[�M�X�N�e�t�]�(�h�t�t�p�s�:�/�/�g�i�t�h�u�b�.�c�o�m�/�d�m�l�c�/�m�x�n�e�t�)� �f�i�r�s�t�.� � �A�l�s�o�,� �i�n�s�t�a�l�l� �t�h�e� �[�A�r�c�a�d�e� �L�e�a�r�n�i�n�g� �E�n�v�i�r�o�n�m�e�n�t� �(�A�L�E�)�]�(�h�t�t�p�s�:�/�/�g�i�t�h�u�b�.�c�o�m�/�m�g�b�e�l�l�e�m�a�r�e�/�A�r�c�a�d�e�-�L�e�a�r�n�i�n�g�-�E�n�v�i�r�o�n�m�e�n�t�)� � � � �#�#�#� �T�r�a�i�n�i�n�g� � �R�u�n� ��p�y�t�h�o�n� �d�q�n�_�d�e�m�o�.�p�y�� �t�o� �t�r�a�i�n� �A�I� �f�o�r� �B�r�e�a�k�o�u�t�.� � � � �#�#�#� �T�e�s�t�i�n�g� � �R�u�n� ��p�y�t�h�o�n� �d�q�n�_�r�u�n�_�t�e�s�t�.�p�y� �-�d� �Y�O�U�R�_�S�A�V�E�_�D�I�R� �-�m� �Q�N�e�t� �-�e� �E�P�O�C�H�_�R�A�N�G�E� �-�v� �1�� � � � �#�#�#� �S�a�m�p�l�e� �P�l�a�y� �V�i�d�e�o� � �h�t�t�p�s�:�/�/�w�w�w�.�d�r�o�p�b�o�x�.�c�o�m�/�s�/�c�g�l�q�x�a�i�p�y�a�p�1�p�e�7�/�d�q�n�-�b�r�e�a�k�o�u�t�-�1�9�7�.�a�v�i�?�d�l�=�0�