mini-AlphaStar
muzero-general
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| mini-AlphaStar | muzero-general | |
|---|---|---|
| 1 | 14 | |
| 278 | 2,372 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
mini-AlphaStar
We haven't tracked posts mentioning mini-AlphaStar yet.
Tracking mentions began in Dec 2020.
muzero-general
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Open source rules engine for Magic: The Gathering
I went looking for MuZero implementations in order to see how, exactly, they interact with the game space. Based on this one, which had the most stars in the muzero topic, it appears that it needs to be able to discern legal next steps from the current game state https://github.com/werner-duvaud/muzero-general/blob/master/...
So, I guess for the cards Forge has implemented one could MuZero it, but I believe it's a bit chicken and egg with a "free text" game like M:TG -- in order to train one would need to know legal steps for any random game state, but in order to have legal steps one would need to be able to read and interpret English rules and card text
- Ask HN: What interesting problems are you working on? ( 2022 Edition)
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MuZero unable to solve non-slippery FrozenLake environment?
I have used this implementation from MuZero: https://github.com/werner-duvaud/muzero-general
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RL for chess
+1 to taking a look at OpenSpiel. It has AlphaZero in C++ and Python, and there is even a PR open that allows running UCI (e.g. Stockfish) bot. You can also load chess via the OpenSpiel wrapper in muzero-general: https://github.com/werner-duvaud/muzero-general
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"muzero-general", PyTorch/Ray code for Gym/Atari/board-games (reasonable results + checkpoints for small tasks)
Windows support (Experimental / Workaround: Use the notebook in Google Colab)
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DeepMind's MuZero conquers and learns the rules as it does
As you can see here for the Atari games; https://github.com/werner-duvaud/muzero-general/blob/master/games/atari.py
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
pytorch-ddpg - Deep deterministic policy gradient (DDPG) in PyTorch 🚀
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
muzero-general - MuZero
trax - Trax — Deep Learning with Clear Code and Speed
Gym-Booking-Discord-Bot - Book Me Botâ„¢ | www.bookmebot.com | A Facebook + Discord Chatbot that guarantees you a workout booking time at your local Fit4Less, LA Fitness, or CrunchFitness gym!
es_pytorch - High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters