HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments. (by DeNA)
pytorch-learn-reinforcement-learning
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc. (by gordicaleksa)
HandyRL | pytorch-learn-reinforcement-learning | |
---|---|---|
1 | 3 | |
282 | 143 | |
0.0% | - | |
4.3 | 0.0 | |
13 days ago | almost 3 years ago | |
Python | Python | |
MIT License | MIT License |
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.
HandyRL
Posts with mentions or reviews of HandyRL.
We have used some of these posts to build our list of alternatives
and similar projects.
pytorch-learn-reinforcement-learning
Posts with mentions or reviews of pytorch-learn-reinforcement-learning.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing HandyRL and pytorch-learn-reinforcement-learning you can also consider the following projects:
adaptdl - Resource-adaptive cluster scheduler for deep learning training.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros