open_spiel VS actix-web

Deep mind actually has a repository where they applied this algorithm for incomplete-knowledge games. You could use it for reference: https://github.com/deepmind/open_spiel/tree/master/open_spiel/python/algorithms

+1. You can also find an implementation of Clobber and AlphaZero (and many other basic RL algorithms) in OpenSpiel: https://github.com/deepmind/open_spiel

You can find a lot of code online if you look, and many of these applied to Poker. There's a general implementation of both in Python and C++ in OpenSpiel, with some examples applied to small poker games. It's nice code to learn from because the algorithms operate over generic game descriptions, so there aren't game-specific design choices mixed up with the implementation of the algorithms, and you can create your own poker game and just run them on it.

And many other additions and improvements. See all the details here: https://github.com/deepmind/open_spiel/releases/tag/v1.3

I would checkout the openspiel package. It's main focus is RL in games (multi-agent environments). You'll find RL examples there and games that are small enough to solve without deep RL. There's also a wide range of environments from fully cooperative to adversarial zero-sum.

Hi, you can check out OpenSpiel: https://github.com/deepmind/open_spiel/

as for algorithms , openspiel repository has few implementations some of these are not related to imperfect information games , and others are not for multiagent environment and others are tabular algorithms .

This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:

I've had some success using Action Masking - you can refer to here https://github.com/deepmind/open_spiel/blob/120420a74a69354d64c10b51cd129d4587f9f325/open_spiel/python/algorithms/dqn.py but for DQN you need to mask out q values for invalid actions (as well as masking them during prediction). In my case I'm able to place my mask in the observation so can fetch it quite easily during prediction but if that's not possible you could query it from the environment and store it in the replay buffer (like they do in the link I shared)

Take a look at this simple implementation: https://github.com/deepmind/open_spiel/blob/master/open_spiel/algorithms/minimax.cc

Actix Web Documentation: Detailed documentation on using Actix-web, including examples and best practices for building web applications with Rust.

I can't speak to the "is it any good" part, but (after a bit of research) I can share what I've found. I'll try to represent things as best as I understand, but I may have some finer details mixed up.

ntex is written by the same person that started actix-web, Nikolay Kim (fafhrd91 on GitHub). There was a bunch of drama a while back due to actix-web using (what many reasoned to be) avoidable unsafe code, which was later found to be buggy. Nikolay was pilloried online, resulting in him transferring leadership of actix-web to someone else. ntex is, as I understand it, essentially Nikolay picking back up on his ideals for what could have been actix-web, if people hadn't pushed him out of his own project.

How ntex compares to the pre-/post-leadership change of actix-web, I don't know.

Here are some jumping points if you want more of the backstory.

https://www.theregister.com/2020/01/21/rust_actix_web_framew...

https://steveklabnik.com/writing/a-sad-day-for-rust

https://github.com/actix/actix-web/issues/1289

Are you ready to embark on another journey in Rust? Today, we'll explore how to create a REST API that performs basic mathematical operations: addition, multiplication, and division. We'll use Actix, a powerful web framework for Rust, together with Rhai, a lightweight scripting language, to achieve our goal.

Within actix-web, middleware is used as a medium for being able to add general functionality to a (set of) route(s) by taking the request before the handler function runs, carrying out some operations, running the actual handler function itself and then the middleware does additional processing (if required). By default, actix-web has several default middlewares that we can use, including logging, path normalisation, access external services and modifying application state (through the ServiceRequest type).

Rust is a popular system programming language, known for its robust memory safety features and exceptional performance. While Rust was originally a system programming language, its application has evolved. Now you can see Rust in different app platforms, mobile apps, and of course, in web apps — both in the frontend and backend, with frameworks like Rocket, Axum, and Actix making it even easier to build web applications with Rust.

actix to handle HTTP requests