autonomous-learning-library
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cpnota
A PyTorch library for building deep reinforcement learning agents.
Right now, we have a repeated piece of code: ```python hyperparameters = {} for hp in args.hyperparameters: key, value = hp.split('=') hyperparameters[key] = type(agent.default_hyperparameters[key])(value) agent = agent.hyperparameters(**hyperparameters) ``` First of...
E.g.: ``` > all-multiagent-atari pong_v3 ppo ppo Traceback (most recent call last): File "/home/cnota/miniconda3/envs/all/bin/all-multiagent-atari", line 33, in sys.exit(load_entry_point('autonomous-learning-library', 'console_scripts', 'all-multiagent-atari')()) File "/home/cnota/repos/autonomous-learning-library/all/scripts/multiagent_atari.py", line 45, in main presets = { File...
The `State` object itself is unnecessarily limited to `(observation, reward, done, mask)`, etc. It should be possible to construct a `State` with arbitrary keys. Additionally, the state should be nestable,...
I want to change both the names of the run directories, as well as the way the logs get organized. The top-level tabs in tensorboard should include `eval`, `info`, etc.
In short, I want `Preset` to have more controller of the `Experiment` that gets created, in order to support parallel execution, multiprocessing, etc. This gives the user much more control...