BCQ | PyTorch implementation of BCQ | Reinforcement Learning library
kandi X-RAY | BCQ Summary
kandi X-RAY | BCQ Summary
BCQ is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch applications. BCQ has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However BCQ build file is not available. You can download it from GitHub.
Batch-Constrained deep Q-learning (BCQ) is the first batch deep reinforcement learning, an algorithm which aims to learn offline without interactions with the environment. BCQ was first introduced in our ICML 2019 paper which focused on continuous action domains. A discrete-action version of BCQ was introduced in a followup Deep RL workshop NeurIPS 2019 paper. Code for each of these algorithms can be found under their corresponding folder.
Batch-Constrained deep Q-learning (BCQ) is the first batch deep reinforcement learning, an algorithm which aims to learn offline without interactions with the environment. BCQ was first introduced in our ICML 2019 paper which focused on continuous action domains. A discrete-action version of BCQ was introduced in a followup Deep RL workshop NeurIPS 2019 paper. Code for each of these algorithms can be found under their corresponding folder.
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BCQ has a low active ecosystem.
It has 506 star(s) with 127 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 9 have been closed. On average issues are closed in 29 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of BCQ is current.
Quality
BCQ has 0 bugs and 37 code smells.
Security
BCQ has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
BCQ code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
BCQ 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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BCQ releases are not available. You will need to build from source code and install.
BCQ has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
BCQ saves you 426 person hours of effort in developing the same functionality from scratch.
It has 1010 lines of code, 68 functions and 8 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed BCQ and discovered the below as its top functions. This is intended to give you an instant insight into BCQ implemented functionality, and help decide if they suit your requirements.
- Interactively interact with an environment
- Perform an action
- Evaluate a policy
- Creates an environment
- Adjusts the frame from the last two frames
- Reset the environment
- Creates a ReplayBuffer
- Train the model
- Decodes a given state from the VAE
- Compute the q1 for a given state and action
- Train the objective function
- Train the target
- Compute the mean and standard deviation
- Compute the covariance matrix
- Compute the likelihood of the given state
- Selects the action corresponding to the given state
Get all kandi verified functions for this library.
BCQ Key Features
No Key Features are available at this moment for BCQ.
BCQ Examples and Code Snippets
No Code Snippets are available at this moment for BCQ.
Community Discussions
Trending Discussions on BCQ
QUESTION
How do I "re-group" my Series after performing an apply() on a SeriesGroupBy?
Asked 2019-Aug-27 at 08:27
I need to adapt an existing function, that essentially performs a Series.str.contains and returns the resulting Series, to be able to handle SeriesGroupBy as input.
As suggested by the pandas error message
Cannot access attribute 'str' of 'SeriesGroupBy' objects, try using the 'apply' method
I have tried to use apply() on the SeriesGroupBy object, which works in a way, but results in a Series object. I would now like to apply the same grouping as before, to this Series.
Original function
...ANSWER
Answered 2019-Aug-27 at 08:27You can just do this. No need to do group-by
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BCQ
You can download it from GitHub.
You can use BCQ 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 BCQ 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
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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