gym-hybrid
Collection of OpenAI parametrized action-space environments. (by thomashirtz)
RayEnvWrapper
OpenAi's gym environment wrapper to vectorize them with Ray (by ingambe)
gym-hybrid | RayEnvWrapper | |
---|---|---|
1 | 1 | |
52 | 22 | |
- | - | |
0.0 | 2.6 | |
about 1 year ago | 12 months 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.
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
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
What are some alternatives?
When comparing gym-hybrid and RayEnvWrapper you can also consider the following projects:
modelicagym - Modelica models integration with Open AI Gym
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.