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| from easydict import EasyDict | |
| mario_dqn_config = dict( | |
| exp_name='mario_dqn_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=8, | |
| n_evaluator_episode=8, | |
| stop_value=100000, | |
| replay_path='mario_dqn_seed0/video', | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| obs_shape=[4, 84, 84], | |
| action_shape=2, | |
| encoder_hidden_size_list=[128, 128, 256], | |
| dueling=True, | |
| ), | |
| nstep=3, | |
| discount_factor=0.99, | |
| learn=dict( | |
| update_per_collect=10, | |
| batch_size=32, | |
| learning_rate=0.0001, | |
| target_update_freq=500, | |
| ), | |
| collect=dict(n_sample=96, ), | |
| eval=dict(evaluator=dict(eval_freq=2000, )), | |
| other=dict( | |
| eps=dict( | |
| type='exp', | |
| start=1., | |
| end=0.05, | |
| decay=250000, | |
| ), | |
| replay_buffer=dict(replay_buffer_size=100000, ), | |
| ), | |
| ), | |
| ) | |
| mario_dqn_config = EasyDict(mario_dqn_config) | |
| main_config = mario_dqn_config | |
| mario_dqn_create_config = dict( | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='dqn'), | |
| ) | |
| mario_dqn_create_config = EasyDict(mario_dqn_create_config) | |
| create_config = mario_dqn_create_config | |
| # you can run `python3 -u mario_dqn_main.py` | |