Merge pull request #1 from Unity-Technologies/jh/initial

Initial commit

.gitignore

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+UnitySDK.log
+__pycache__
+.DS_STORE

README.md

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-# obstacle-tower-challenge
-Repository for the MLAgents Obstacle Tower challenge
+# Obstacle Tower Challenge Starter Kit
+
+## Setup
+
+* **Docker** https://www.docker.com/products/docker-desktop
+* **repo2docker**
+
+```
+pip install crowdai-repo2docker
+```
+
+## Build Docker image
+
+```
+./build.sh
+```
+
+## Run Docker image
+
+```
+# Start the docker image, which will run Jupyter notebook
+docker run --name obstacle_tower -it obstacle_tower_challenge:latest
+
+# In another terminal window, execute the run.
+docker exec -it obstacle_tower ./run.sh
+```
+
+## Local Run
+
+```
+./run.sh
+```

apt.txt

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+curl
+git
+xvfb

build.sh

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+export IMAGE_NAME="obstacle_tower_challenge"
+
+crowdai-repo2docker --no-run \
+  --user-id 1001 \
+  --user-name crowdai \
+  --image-name ${IMAGE_NAME} \
+  --debug .

crowdai.json

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+{
+    "challenge_id" : "crowdai-mlagents-2018-obstacletower",
+    "grader_id": "crowdai-mlagents-2018-obstacletower",
+    "authors" : ["harperj"],
+    "description" : "Obstacle Tower random agent",
+    "gpu": false
+}

postBuild

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+#!/bin/bash
+
+set -ex
+
+curl https://storage.googleapis.com/obstacle-tower-build/obstacletower_linux.zip > obstacletower_linux.zip
+unzip obstacletower_linux.zip

requirements.txt

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+git+git://github.com/Unity-Technologies/obstacle-tower-env@master

run.py

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+from obstacle_tower_env import ObstacleTowerEnv
+import sys
+
+def run_episode(env):
+    env.reset()
+    done = False
+    reward = 0.0
+
+    while not done:
+        action = env.action_space.sample()
+        obs, reward, done, info = env.step(action)
+    return reward
+
+
+if __name__ == '__main__':
+    environment_filename = \
+        sys.argv[1] if len(sys.argv) > 1 else './ObstacleTower/obstacletower'
+
+    env = ObstacleTowerEnv(environment_filename)
+    if env.is_grading():
+        episode_reward = run_episode(env)
+    else:
+        while True:
+            episode_reward = run_episode(env)
+            print("Episode reward: " + str(episode_reward))
+
+    env.close()
+

run.sh

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+#!/bin/bash
+
+# Use This line would work in case of the docker container
+# Else the relevant env variables will not be loaded during evaluatino
+source activate base
+echo "root"
+
+python run.py