rl-baselines3-zoo | training framework for Stable Baselines3 reinforcement | Reinforcement Learning library
kandi X-RAY | rl-baselines3-zoo Summary
kandi X-RAY | rl-baselines3-zoo Summary
rl-baselines3-zoo is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning applications. rl-baselines3-zoo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install rl-baselines3-zoo' or download it from GitHub, PyPI.
RL Baselines3 Zoo is a training framework for Reinforcement Learning (RL), using Stable Baselines3. It provides scripts for training, evaluating agents, tuning hyperparameters, plotting results and recording videos. In addition, it includes a collection of tuned hyperparameters for common environments and RL algorithms, and agents trained with those settings.
RL Baselines3 Zoo is a training framework for Reinforcement Learning (RL), using Stable Baselines3. It provides scripts for training, evaluating agents, tuning hyperparameters, plotting results and recording videos. In addition, it includes a collection of tuned hyperparameters for common environments and RL algorithms, and agents trained with those settings.
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rl-baselines3-zoo has a medium active ecosystem.
It has 1326 star(s) with 381 fork(s). There are 20 watchers for this library.
It had no major release in the last 12 months.
There are 31 open issues and 167 have been closed. On average issues are closed in 68 days. There are 11 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of rl-baselines3-zoo is v1.8.0
Quality
rl-baselines3-zoo has 0 bugs and 0 code smells.
Security
rl-baselines3-zoo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
rl-baselines3-zoo code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
rl-baselines3-zoo is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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rl-baselines3-zoo releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
rl-baselines3-zoo saves you 1000 person hours of effort in developing the same functionality from scratch.
It has 3082 lines of code, 112 functions and 24 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed rl-baselines3-zoo and discovered the below as its top functions. This is intended to give you an instant insight into rl-baselines3-zoo implemented functionality, and help decide if they suit your requirements.
- Main function
- Return the highest run id for the given environment
- Download model from hub
- Create a test environment
- Get the path to the model
- Create a plot from a file
- Restore artist plot
- Normalize a score
- Start training
- Optimizes hyperparameters
- Get trained models
- Get a dictionary of training models
- Sample tqc hyperparameters
- Return the maximum run id for the given environment
- Sample hyperparameters from the trial
- Update the model
- Suggest a sample of model parameters
- Returns the path to the model
- Sample PPO parameters
- Suggest sample of td3 params
- Suggest sample A2C parameters
- Sample the trpo model parameters
- Command line interface to train training
- Compute the objective function
- Package a model to a hub
- Plot results
- Create a gym env
Get all kandi verified functions for this library.
rl-baselines3-zoo Key Features
No Key Features are available at this moment for rl-baselines3-zoo.
rl-baselines3-zoo Examples and Code Snippets
No Code Snippets are available at this moment for rl-baselines3-zoo.
Community Discussions
Trending Discussions on rl-baselines3-zoo
QUESTION
What is missing in OpenAI Gym registration?
Asked 2021-May-21 at 00:53
I get ValueError: xxx not found in gym registry, you maybe meant when trying to register a custom environment in stable baselines 3. I tried the following commands:
ANSWER
Answered 2021-May-21 at 00:53This problem can be resolved with --gym-packages gym_basic
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rl-baselines3-zoo
You can install using 'pip install rl-baselines3-zoo' or download it from GitHub, PyPI.
You can use rl-baselines3-zoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use rl-baselines3-zoo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
If you trained an agent that is not present in the RL Zoo, please submit a Pull Request (containing the hyperparameters and the score too).
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