[rllib] Native support for Dict and Tuple spaces; fix Tuple action spaces; add prev a, r to LSTM (#3051)

This commit is contained in:
Eric Liang
2018-10-20 15:21:22 -07:00
committed by GitHub
parent 9a2b5333ef
commit 59901a88a0
39 changed files with 921 additions and 185 deletions
@@ -246,6 +246,9 @@ docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/test/test_policy_evaluator.py
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/test/test_nested_spaces.py
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/test/test_serving_env.py
@@ -314,6 +317,9 @@ docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/cartpole_lstm.py --run=IMPALA --stop=100
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/cartpole_lstm.py --stop=200 --use-prev-action-reward
docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/experimental/sgd/test_sgd.py --num-iters=2