muzero-general
Benthos
muzero-general | Benthos | |
---|---|---|
14 | 76 | |
2,379 | 7,586 | |
- | 2.3% | |
0.0 | 9.7 | |
4 months ago | 3 days ago | |
Python | Go | |
MIT License | 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.
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
- I placed Stockfish (white) against ChatGPT (black). Here's how the game went.
- Ask HN: What interesting problems are you working on? ( 2022 Edition)
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How to "fit" the output of the Critic to the dimension of the reward?
You may want to use the trick described in https://arxiv.org/pdf/1805.11593.pdf as a Transformed Bellman Operator. Its efficiency is proved in MuZero original paper https://arxiv.org/pdf/1911.08265.pdf Appendix F. The implementation of that method you can find here: https://github.com/werner-duvaud/muzero-general Usage: muzero/models.py:649 (def support_to_scalar)
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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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The future of MuZero, and where to go for news
When I looked up some community implementations, like that of Werner Duvaud on GitHub and Discord, hoping to make my own contributions to this effect, I soon found that I was hopelessly out of my depth as an amateur programmer, even with the help of some other sources like this walkthrough series. However, from what I could tell, most of the people working on this sort of thing seemed to be tackling relatively simple games. At first I thought this might be largely due to limitations in hobby time or computing power available to these users, but then I also noticed that, unless I have misunderstood something, it seems like the games are required to be rebuilt entirely in the engine of (this implementation of) MuZero, which would also obviously be a limit on the complexity of games chosen.
- Is MuZero currently the best RL algo that we have now?
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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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Muzero code implementation
There are several if you google "muzero github", e.g. https://github.com/werner-duvaud/muzero-general
Benthos
- Ask HN: Who is hiring? (December 2023)
- Structured Logging with Slog
- Fancy stream processing made operationally mundane
- Benthos: Fancy stream processing made operationally mundane
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Any golang library to batch process a queue ?
I’ve used https://www.benthos.dev/ and it’s really easy and well implemented. The author is also very responsive
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Show HN: Arroyo – Write SQL on streaming data
Looks cool. What is the difference between this tools and benthos (https://www.benthos.dev/)?
- Benthos: Open-source stream processing tool
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book about golang and kafka
You might want to gradually replace that one with https://github.com/twmb/franz-go because Shopify is looking to find a new owner for Sarama and, until or if they do, it seems to be falling behind with maintenance: https://github.com/Shopify/sarama/issues/2461 For example, they still haven’t addressed this breaking change https://github.com/Shopify/sarama/issues/2358. franz-go has worked well so far in Benthos https://github.com/benthosdev/benthos/tree/main/internal/impl/kafka and it will likely end up as the only implementation once the Sarama-based one will be deprecated
- Show HN: Open-source Auth0 alternative Ory Kratos v0.13 released – nearing v1.0
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Go in depth youtube channels?
I upload a mix of code reviews and live streams on https://www.youtube.com/@Jeffail, mostly building https://www.benthos.dev out in the open so the content ranges from beginner friendly stuff to more advanced things like stream processing, parser combinators, etc.
What are some alternatives?
deep-RL-trading - playing idealized trading games with deep reinforcement learning
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
watermill - Building event-driven applications the easy way in Go.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
sarama - Sarama is a Go library for Apache Kafka. [Moved to: https://github.com/IBM/sarama]
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
pytorch-ddpg - Deep deterministic policy gradient (DDPG) in PyTorch 🚀
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers