RayEnvWrapper
OpenAi's gym environment wrapper to vectorize them with Ray (by ingambe)
gym-hybrid
Collection of OpenAI parametrized action-space environments. (by thomashirtz)
RayEnvWrapper | gym-hybrid | |
---|---|---|
1 | 1 | |
22 | 46 | |
- | - | |
2.6 | 0.0 | |
12 months ago | about 1 year ago | |
Python | Python | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
RayEnvWrapper
Posts with mentions or reviews of RayEnvWrapper.
We have used some of these posts to build our list of alternatives
and similar projects.
-
RayEnvWrapper: Vectorize your environment using Ray
Github: https://github.com/ingambe/RayEnvWrapper
gym-hybrid
Posts with mentions or reviews of gym-hybrid.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Best way to define hybrid environment action space
Link to the issue and the code I wrote
What are some alternatives?
When comparing RayEnvWrapper and gym-hybrid you can also consider the following projects:
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
modelicagym - Modelica models integration with Open AI Gym
gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.