pseeth / otoworld Goto Github PK
View Code? Open in Web Editor NEWApplying reinforcement learning to perform source separation.
License: MIT License
Applying reinforcement learning to perform source separation.
License: MIT License
Add instructions for performing evaluation using the evaluation.ipynb
notebook and Tensorboard (in the runs/
folder)
evaluation.ipynb
notebook
plot_runs.py
when I run the following code:
env = gym.make(
"audio-room-v0",
room_config = room.generate(),
agent_loc = agent_loc,
corners = room.corners,
max_order = 10,
step_size = 1.0,
acceptable_radius = 0.8,
)
Occured the errors as followings:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-6-47bcc3b1313f> in <module>
6 max_order = 10,
7 step_size = 1.0,
----> 8 acceptable_radius = 0.8,
9 )
~/anaconda3/envs/oto/lib/python3.7/site-packages/gym/envs/registration.py in make(id, **kwargs)
143
144 def make(id, **kwargs):
--> 145 return registry.make(id, **kwargs)
146
147 def spec(id):
~/anaconda3/envs/oto/lib/python3.7/site-packages/gym/envs/registration.py in make(self, path, **kwargs)
88 logger.info('Making new env: %s', path)
89 spec = self.spec(path)
---> 90 env = spec.make(**kwargs)
91 # We used to have people override _reset/_step rather than
92 # reset/step. Set _gym_disable_underscore_compat = True on
~/anaconda3/envs/oto/lib/python3.7/site-packages/gym/envs/registration.py in make(self, **kwargs)
58 else:
59 cls = load(self.entry_point)
---> 60 env = cls(**_kwargs)
61
62 # Make the environment aware of which spec it came from.
TypeError: __init__() got an unexpected keyword argument 'agent_loc'
would you help me?
The infrastructure is there but there may need to be a little more refactoring to incorporate this.
Low priority for now.
There is an assertion error when computing RIR in the Polygon room
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