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A2c can check in continuing environments, whilst vpg cannot.
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How does The A2C algorithm work in Python?
The actual algorithm ( a2c.py ), with a learn method that takes the policy function (from policies.py) as input. It uses a Model class for the overall model and a Runner class to handle the different environments executing in parallel. When the runner takes a step, this performs a step for each of the 16 environments.
Which is the algorithm used in the A3C paper?
These build the TensorFlow computational graphs and use CNNs or LSTMs as in the A3C paper. The actual algorithm ( a2c.py ), with a learn method that takes the policy function (from policies.py) as input. It uses a Model class for the overall model and a Runner class to handle the different environments executing in parallel.
Which is the main script for A2C in OpenAI?
In the OpenAI baselines repository, the A2C implementation is nicely split into four clear scripts: The main call, run_atari.py, in which we supply the type of policy and learning rate we want, along with the actual (Atari) environment.
Last Update: Oct 2021
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