### Install Mctx from PyPI Source: https://github.com/google-deepmind/mctx/blob/main/README.md Install the latest released version of Mctx from PyPI. This is the recommended method for most users. ```sh pip install mctx ``` -------------------------------- ### Install Mctx from GitHub Source: https://github.com/google-deepmind/mctx/blob/main/README.md Install the latest development version of Mctx directly from its GitHub repository. Use this for access to the newest features and bug fixes. ```sh pip install git+https://github.com/google-deepmind/mctx.git ``` -------------------------------- ### Gumbel MuZero Policy Usage Source: https://github.com/google-deepmind/mctx/blob/main/README.md This snippet shows how to call the gumbel_muzero_policy function with necessary parameters. The output contains the proposed action and action weights for training. ```python policy_output = mctx.gumbel_muzero_policy(params, rng_key, root, recurrent_fn, num_simulations=32) ``` -------------------------------- ### Mctx Citation Source: https://github.com/google-deepmind/mctx/blob/main/README.md This is the BibTeX entry for citing the Mctx library as part of the DeepMind JAX Ecosystem. ```bibtex @software{deepmind2020jax, title = {The {D}eep{M}ind {JAX} {E}cosystem}, author = {DeepMind and Babuschkin, Igor and Baumli, Kate and Bell, Alison and Bhupatiraju, Surya and Bruce, Jake and Buchlovsky, Peter and Budden, David and Cai, Trevor and Clark, Aidan and Danihelka, Ivo and Dedieu, Antoine and Fantacci, Claudio and Godwin, Jonathan and Jones, Chris and Hemsley, Ross and Hennigan, Tom and Hessel, Matteo and Hou, Shaobo and Kapturowski, Steven and Keck, Thomas and Kemaev, Iurii and King, Michael and Kunesch, Markus and Martens, Lena and Merzic, Hamza and Mikulik, Vladimir and Norman, Tamara and Papamakarios, George and Quan, John and Ring, Roman and Ruiz, Francisco and Sanchez, Alvaro and Sartran, Laurent and Schneider, Rosalia and Sezener, Eren and Spencer, Stephen and Srinivasan, Srivatsan and Stanojevi{\'c}, Milo{\'s} and Stokowiec, Wojciech and Wang, Luyu and Zhou, Guangyao and Viola, Fabio}, url = {http://github.com/deepmind}, year = {2020}, } ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.