From e8b6db8a326805265bc0ea9daacd4bb55217d8cd Mon Sep 17 00:00:00 2001 From: Alessandro Palmas Date: Sat, 2 Mar 2024 14:58:10 -0500 Subject: [PATCH] Update units/en/unitbonus3/envs-to-try.mdx Co-authored-by: Thomas Simonini --- units/en/unitbonus3/envs-to-try.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/units/en/unitbonus3/envs-to-try.mdx b/units/en/unitbonus3/envs-to-try.mdx index 2d10c81..ea2ee6d 100644 --- a/units/en/unitbonus3/envs-to-try.mdx +++ b/units/en/unitbonus3/envs-to-try.mdx @@ -21,7 +21,7 @@ They all support both single player (1P) as well as two players (2P) mode, makin [Interfaced games](https://docs.diambra.ai/envs/games/) have been selected among the most popular fighting retro-games. While sharing the same fundamental mechanics, they provide different challenges, with specific features such as different type and number of characters, how to perform combos, health bars recharging, etc. -DIAMBRA Arena is built to maximize compatibility will all major Reinforcement Learning libraries. It natively provides interfaces with the two most important packages: Stable Baselines 3 and Ray RLlib, while Stable Baselines is also available but deprecated. Their usage is illustrated in the [official documentation](https://docs.diambra.ai/) and in the [DIAMBRA Agents examples repository](https://github.com/diambra/agents). It can easily be interfaced with any other package in a similar way. +DIAMBRA Arena is built to maximize compatibility will all major Reinforcement Learning libraries. It natively provides interfaces with the two most important packages: [Stable Baselines 3](https://stable-baselines3.readthedocs.io/en/master/) and [Ray RLlib](https://docs.ray.io/en/latest/rllib/index.html), while Stable Baselines is also available but deprecated. Their usage is illustrated in the [official documentation](https://docs.diambra.ai/) and in the [DIAMBRA Agents examples repository](https://github.com/diambra/agents). It can easily be interfaced with any other package in a similar way. ### Competition Platform