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SuperSuit Alternatives
Similar projects and alternatives to SuperSuit
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
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PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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stable-baselines
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms (by Stable-Baselines-Team)
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better SuperSuit alternative or higher similarity.
SuperSuit reviews and mentions
Posts with mentions or reviews of SuperSuit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-16.
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What is a wrapper in RL?
"SuperSuit is a library that includes all commonly used wrappers in RL (frame stacking, observation, normalization, etc.) for PettingZoo and Gym environments with a nice API. We developed it in lieu of wrappers built into PettingZoo. https://github.com/Farama-Foundation/SuperSuit "
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Simple (few states) two-agent environments?
+1 on PettingZoo, and the wrappers they provide as SuperSuit come in handy as well!. Also check out OpenSpiel
- Take a look at SuperSuit- It contains mature versions of all common preprocessing wrappers for gym environments, including ones that accept lambda functions for observations/actions/rewards
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Understanding multi agent learning in OpenAI gym and stable-baselines
Multi-agent isn’t supported by default in stable baselines, but you can make it work with PettingZoo. This example trains a single policy to control every agent in an environment (Parameter sharing). You could use these SuperSuit wrappers to work with other methods (self-play, independent learning, etc) but you would probably need to write some custom training code. https://github.com/PettingZoo-Team/SuperSuit#parallel-environment-vectorization
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A note from our sponsor - InfluxDB
www.influxdata.com | 24 Apr 2024
Stats
Basic SuperSuit repo stats
4
431
8.0
about 1 month ago
Farama-Foundation/SuperSuit is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of SuperSuit is Python.
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