@@ -16,7 +16,11 @@ experiments we will run, therefore we provide the agent with the length of the e
are the ones returned by the Gym environment `AnimalAIEnv` from `animalai.envs.environment`. If you wish to directly
work on the ML Agents `BrainInfo` you can access them via `info['brain_info']`
**NEW (v1.0.4)**: you can now select the resolution of the observation your agent takes as input, this argument will be passed to the environment directly (must be between 4 and 256).
**NEW (v1.0.4)**: you can now select the resolution of the observation your agent takes as input, this argument will be passed to the environment directly (must be between 4 and 256). To do so add the line below to the `__init__` constructor of your agent:
```
self.resolution = 84 # can be between 4 and 256
```
Make sure any data loaded in the docker is referred to using **absolute paths** in the container or the form `/aaio/data/...` (see below). An example that you can modify is provided [here](https://github.com/beyretb/AnimalAI-Olympics/blob/master/examples/submission/agent.py)
