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Multiagent model using concatenated observations (#1416)

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* working multi action distribution and multiagent model

* currently working but the splits arent done in the right place

* added shared models

* added categorical support and mountain car example

* now compatible with generalized advantage estimation

* working multiagent code with discrete and continuous example

* moved reshaper to utils

* code review changes made, ppo action placeholder moved to model catalog, all multiagent code moved out of fcnet

* added examples in

* added PEP8 compliance

* examples are mostly pep8 compliant

* removed all flake errors

* added examples to jenkins tests

* fixed custom options bug

* added lines to let docker file find multiagent tests

* shortened example run length

* corrected nits

* fixed flake errors
This commit is contained in:
eugenevinitsky
2018-01-18 19:51:31 -08:00
committed by Eric Liang
parent 215d526e0d
commit 37076a9ff8
16 changed files with 445 additions and 20 deletions
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python/ray/rllib/models/__init__.py
+3 -1
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@@ -5,8 +5,10 @@ from ray.rllib.models.model import Model
from ray.rllib.models.fcnet import FullyConnectedNetwork
from ray.rllib.models.convnet import ConvolutionalNetwork
from ray.rllib.models.lstm import LSTM
from ray.rllib.models.multiagentfcnet import MultiAgentFullyConnectedNetwork
__all__ = ["ActionDistribution", "ActionDistribution", "Categorical",
"DiagGaussian", "Deterministic", "ModelCatalog", "Model",
"FullyConnectedNetwork", "ConvolutionalNetwork", "LSTM"]
"FullyConnectedNetwork", "ConvolutionalNetwork", "LSTM",
"MultiAgentFullyConnectedNetwork"]