OpenAi | OpenAi Game Challenges | Artificial Intelligence library

I'm trying to solve the OpenAI gym Breakout-V0 with a Deep Q-Network Agent.
Every time when my agent reaches the point where:

• The replay_memory is filled enough to start training
• The copy_target_network interval is reached for the first time
• The target_network predicts for the fist time

Tensorflow throws following error:

So I am looking to train a model on colab using a GPU/TPU as my local machine doesn't have one. I am not bothered about visualising the training I just want colab to do the bulk of the work.

When importing my .ipynb into colab and running as soon as i attempt to make an env using any of the atari games i get the error:

I'm trying to wrap my head around training OpenAI's language models on new data sets. Is there anyone here with experience in that regard? My idea is to feed either GPT-2 or 3 (I do not have API access to 3 though) with a textbook, train it on it and be able to "discuss" the content of the book with the language model afterwards. I don't think I'd have to change any of the hyperparameters, I just need more data in the model.

Is it possible??

Thanks a lot for any (also conceptual) help!

I have a question about GPT-3. As we know we can give some examples to the network and "adjust" the model.

1. Show examples to the model.
2. Save these examples.
3. Reuse the APIs.

For the context, I'm trying to use OpenAI gym together with a pyglet tetris game that I wrote. The problem I'm facing boils down to the MWE below.

After always the same amount of time, here ~9 seconds, the window freezes, but the prints from the toto function AND the render function are still printing. I'm going crazy on this. Pyglet seemed nice but I hardly find any documentation and the official one is hardly helpful. If I do the same with a simpler code with a on_draw() function, no problem, but I need this for the gym part.

Thank you

I have made a model in PyTorch for use in an openAI Gym environment. I have made it in the following way:

I want to center the column in the middle of my table so that the table header "Information" is centered exactly beneath the h2 header "His career". I have found out that the table is centered, but column 1 is wider than column 3:

I thought that this

Note that parts of the following description are specific to the Python package mujoco_py but the issue itself is general.

I followed the steps described in here and here to built a container with mujoco-py installed in it that uses GPUs for rendering. However, when do import mujoco_py I get the following errors when mujoco-py is trying to create some files/directories that are needed for rendering with GPUs. However, it is not possible to create any files inside the container after it is built as the file system becomes read-only, except if those files are going to be stored in /tmp. Also, in my case, it is not an option to build the container as writable. I also tried installing mujoco-py via python3 -m pip install . -e instead of python3 setup.py install but got some other, similar errors when I did import mujoco_py.

Is there a way to either change the path where those files are going to be created or keep those files in memory?

I'm working on training CLIP model. Here's the source code of the model https://github.com/openai/CLIP/blob/main/clip/model.py

Basically the CLIP object is constructed like this :