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Consider the following code --- We generate 1000 episodes, each of which is made of 100 steps. For each episode a `deempind_lab.Lab` instance is created and closed.
It should run without an error, …
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Assuming that the current state is s0, what should I do when I only want to get the latter states s1 s2 and don't push the agent to these states in fact? I think that this operation is simlilar to the…
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i built
file:///home/dewe/lab/bazel-bin/deepmind_lab.so
file:///home/dewe/lab/bazel-bin/libdmlab_headless_hw.so
file:///home/dewe/lab/bazel-bin/libdmlab_headless_sw.so
with --define=osmesa_or_glx…
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I am trying to run your code on my local machine with Ubuntu 18.04, GPU-Tensorflow. I can run the Deepmind Lab perfectly, but in case of your code, I have encountering following effect when trying to …
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I setup Bazel and DeepMind Lab according to the build instructions in this repo. I am using Python 3.
I can run a random agent without any trouble, i.e. the following command works:
```
bazel run…
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While the command
`bazel run :python_random_agent --define graphics=sdl -- \
--length=10000 --width=640 --height=480`
works perfectly inside the lab folder,
the command `python py…
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hello, I am learning the [project ](https://github.com/google-research/episodic-curiosity), when I run `python episodic-curiosity/scripts/launcher_script.py --workdir=/tmp/ec_workdir --method=ppo_plus…
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How can I produce fixed, deterministic episode?
Is there any control parameters like random seed to be fixed?
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While OSX is not officially supported - I wanted to point out the issues and solutions I found necessary to get Deepmind lab running on 10.15 on the macos branch with python3 for those who are interes…
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Are you still active in this repository?
May I suggest fixes?