EfficientZero
Fork of EfficientZero to use newer libraries and to fix a few runtime bugs. Also includes pretrained models! (by steventrouble)
mctx
Monte Carlo tree search in JAX (by google-deepmind)
EfficientZero | mctx | |
---|---|---|
1 | 10 | |
7 | 2,203 | |
- | 1.1% | |
5.0 | 0.0 | |
about 1 year ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EfficientZero
Posts with mentions or reviews of EfficientZero.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-07.
mctx
Posts with mentions or reviews of mctx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-15.
- About Monte Carlo tree search in Jax
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Programming language dilemma
Maybe you can have your cake and eat it too. :) You could use Python with one of the hardware accelerating languages like Jax. This project for example uses Jax to implement Monte Carlo Tree Search and includes a few games as examples. https://github.com/deepmind/mctx
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Is there any proof that AlphaZero actually exist?
recently tree search part of alpha zero has gone open source https://github.com/deepmind/mctx
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[D] Anyone interested in training an AI for Tigris and Euphrates?
You could try starting with https://github.com/deepmind/mctx. You’ll probably need to expose your game state and actions via IPC of some sort or FFI your rust code to Python.
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DeepMind has open-sourced the heart of AlphaGo and AlphaZero
Interesting approach to private variables https://github.com/deepmind/mctx/blob/577fc77a3cda1b796e277e...
- AlphaZero's Monte Carlo tree search implementation in Jax
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Anyone found any working replication repo for MuZero?
Just have a look at the DM repo: https://github.com/deepmind/mctx
- MuZero Implementation
- Official DeepMind MuZero Implementation
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Finally an official MuZero implementation
deepmind/mctx: Monte Carlo tree search in JAX (github.com)
What are some alternatives?
When comparing EfficientZero and mctx you can also consider the following projects:
minihack - MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
KataGo - GTP engine and self-play learning in Go
leela-zero - Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
craftingway - A ffxiv crafting tool
omega - A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.