Comments (2)
And which models do network_01653000, network_01900000 and network_02360000 correspond to, respectively? How can I watch their structures?
Thanks!
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Yes, you're correct that is the action for the host_agent. If there are multiple agents in the environment, they would each compute their next action separately (presumably before any of the agents execute the action at that timestep).
To re-create Figs 4 and 6 from the IROS paper, it may be easier to use our gym environment repo. In particular, there's a small test suite script that I think runs those test cases. This might also be a useful repo if you're looking to compare algorithms across random scenarios.
Whichever network file is loaded by default is the GA3C-CADRL-10 that should perform the best. The other ones are either trained for fewer steps or might have had different settings, so it's probably best to ignore the other network files.
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