Multiagent model using concatenated observations (#1416)

* 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
@@ -162,3 +162,9 @@ docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/tune/examples/tune_mnist_ray.py \
--fast
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/multiagent_mountaincar.py
docker run --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/multiagent_pendulum.py