A PyTorch implementation of DeepMind's MCTSnet

faameunier, updated 🕥 2022-12-08 04:51:24

This is a work in progress. Any ideas welcomed !

Installation

To install all dependancies

pip install -r requirements.txt

To install Sokoban environment

git clone https://github.com/mpSchrader/gym-sokoban.git cd gym-sokoban pip install -e .

Run and test

See main.ipynb for details.

Description

This implementation tries to follow "Learning to search with MCTSnets" (Guez et al.) [1] as closely as possible. All mentioned networks are available in MCTSnet/models/. We focused on a simple random policy as a first step and the approximate computation for the policy gradient is not implemented. This should however provide good results according to the authors.

MCTSnet/models/MCTSnet.py implements all the search logic.

The code tends to be quite general and should easily be adapted for any environment (we tried to use an interface as close to gym as possible).

MCTSnet/trainer.py provides an easy way to train, test and play games. Two games were tested: - the Sokoban, as per the original article - the MouseGame, a simple game were a mouse need to eat the cheese and avoid poison

The algorithm has proven to converge on the mousegame, however even after 15hours of training the MCTSnet performance is poor. Additionnal testing is required.

For a detailed description please check https://github.com/faameunier/MCTSnet/blob/master/RL_Manuscript.pdf

References

[1] Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Remi Munos, and David Silver. Learning to search with mctsnets. CoRR, abs/1802.04697, 2018.

Issues

Bump certifi from 2019.3.9 to 2022.12.7

opened on 2022-12-08 04:51:23 by dependabot[bot]

Bumps certifi from 2019.3.9 to 2022.12.7.

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Bump pillow from 5.4.1 to 9.3.0

opened on 2022-11-22 03:27:43 by dependabot[bot]

Bumps pillow from 5.4.1 to 9.3.0.

Release notes

Sourced from pillow's releases.

9.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

9.3.0 (2022-10-29)

  • Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [wiredfool]

  • Initialize libtiff buffer when saving #6699 [radarhere]

  • Inline fname2char to fix memory leak #6329 [nulano]

  • Fix memory leaks related to text features #6330 [nulano]

  • Use double quotes for version check on old CPython on Windows #6695 [hugovk]

  • Remove backup implementation of Round for Windows platforms #6693 [cgohlke]

  • Fixed set_variation_by_name offset #6445 [radarhere]

  • Fix malloc in _imagingft.c:font_setvaraxes #6690 [cgohlke]

  • Release Python GIL when converting images using matrix operations #6418 [hmaarrfk]

  • Added ExifTags enums #6630 [radarhere]

  • Do not modify previous frame when calculating delta in PNG #6683 [radarhere]

  • Added support for reading BMP images with RLE4 compression #6674 [npjg, radarhere]

  • Decode JPEG compressed BLP1 data in original mode #6678 [radarhere]

  • Added GPS TIFF tag info #6661 [radarhere]

  • Added conversion between RGB/RGBA/RGBX and LAB #6647 [radarhere]

  • Do not attempt normalization if mode is already normal #6644 [radarhere]

... (truncated)

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Bump nbconvert from 5.4.1 to 6.5.1

opened on 2022-08-23 17:32:51 by dependabot[bot]

Bumps nbconvert from 5.4.1 to 6.5.1.

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Release 6.5.1

No release notes provided.

6.5.0

What's Changed

New Contributors

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5

6.4.3

What's Changed

New Contributors

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3

6.4.0

What's Changed

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... (truncated)

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Bump mistune from 0.8.4 to 2.0.3

opened on 2022-07-29 22:51:24 by dependabot[bot]

Bumps mistune from 0.8.4 to 2.0.3.

Release notes

Sourced from mistune's releases.

Version 2.0.2

Fix escape_url via lepture/mistune#295

Version 2.0.1

Fix XSS for image link syntax.

Version 2.0.0

First release of Mistune v2.

Version 2.0.0 RC1

In this release, we have a Security Fix for harmful links.

Version 2.0.0 Alpha 1

This is the first release of v2. An alpha version for users to have a preview of the new mistune.

Changelog

Sourced from mistune's changelog.

Changelog

Here is the full history of mistune v2.

Version 2.0.4


Released on Jul 15, 2022
  • Fix url plugin in <a> tag
  • Fix * formatting

Version 2.0.3

Released on Jun 27, 2022

  • Fix table plugin
  • Security fix for CVE-2022-34749

Version 2.0.2


Released on Jan 14, 2022

Fix escape_url

Version 2.0.1

Released on Dec 30, 2021

XSS fix for image link syntax.

Version 2.0.0


Released on Dec 5, 2021

This is the first non-alpha release of mistune v2.

Version 2.0.0rc1

Released on Feb 16, 2021

Version 2.0.0a6


</tr></table> 

... (truncated)

Commits
  • 3f422f1 Version bump 2.0.3
  • a6d4321 Fix asteris emphasis regex CVE-2022-34749
  • 5638e46 Merge pull request #307 from jieter/patch-1
  • 0eba471 Fix typo in guide.rst
  • 61e9337 Fix table plugin
  • 76dec68 Add documentation for renderer heading when TOC enabled
  • 799cd11 Version bump 2.0.2
  • babb0cf Merge pull request #295 from dairiki/bug.escape_url
  • fc2cd53 Make mistune.util.escape_url less aggressive
  • 3e8d352 Version bump 2.0.1
  • Additional commits viewable in compare view


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Bump numpy from 1.16.2 to 1.22.0

opened on 2022-06-21 21:45:26 by dependabot[bot]

Bumps numpy from 1.16.2 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

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Bump notebook from 5.7.8 to 6.4.12

opened on 2022-06-16 23:19:52 by dependabot[bot]

Bumps notebook from 5.7.8 to 6.4.12.

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Francois MEUNIER

Engineer in Applied Mathematics, specialized in data science.

GitHub Repository

pytorch mcts deep-reinforcement-learning deep-learning reinforcement-learning deep-neural-networks sokoban-solver