We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
in training_scenario.py in train_from_config() the RL config seems to be hardcoded to q_learning_config.
training_scenario.py
train_from_config()
q_learning_config
config_rl: AttrDict = HyperparameterConfigLoader.load('q_learning_config', config_environment.agent[0]['agent_class'])
According to the wiki the relevant config file should be named rl_config.json . The same issue can also be found in the exampleprinter.py.
rl_config.json
exampleprinter.py
The text was updated successfully, but these errors were encountered:
No branches or pull requests
in
training_scenario.pyintrain_from_config()the RL config seems to be hardcoded toq_learning_config.According to the wiki the relevant config file should be named
rl_config.json.The same issue can also be found in the
exampleprinter.py.The text was updated successfully, but these errors were encountered: