per | Prioritized Experience Replay implementation | Reinforcement Learning library

 by   rlcode Python Version: Current License: MIT

kandi X-RAY | per Summary

kandi X-RAY | per Summary

per is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Pytorch applications. per has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However per build file is not available. You can download it from GitHub.

PER(Prioritized Experience Replay) implementation in PyTorch.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              per has a low active ecosystem.
              It has 164 star(s) with 49 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 3 have been closed. On average issues are closed in 54 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of per is current.

            kandi-Quality Quality

              per has 0 bugs and 0 code smells.

            kandi-Security Security

              per has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              per code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              per is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              per releases are not available. You will need to build from source code and install.
              per has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed per and discovered the below as its top functions. This is intended to give you an instant insight into per implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Sample the tree
            • Retrieve a substring from the tree
            • Return the index of a node
            • The total subtree
            • Adds data to the accumulator
            • Propagate a node
            • Update the value at index px
            • Append a sample to the memory
            • Calculate action for given state
            • Update the target model
            Get all kandi verified functions for this library.

            per Key Features

            No Key Features are available at this moment for per.

            per Examples and Code Snippets

            Modify the model output type per subgraph .
            pythondot img1Lines of Code : 106dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _modify_model_output_type_per_subgraph(model, subgraph_index,
                                                       signature_index,
                                                       inference_output_type):
              """Modify model output type per subgraph."""
              subgraph  
            Calculate the mean - per - class accuracy .
            pythondot img2Lines of Code : 102dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def mean_per_class_accuracy(labels,
                                        predictions,
                                        num_classes,
                                        weights=None,
                                        metrics_collections=None,
                                        updates_  
            Modify inference_input_type per subgraph .
            pythondot img3Lines of Code : 90dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _modify_model_input_type_per_subgraph(model, subgraph_index,
                                                      signature_index,
                                                      inference_input_type):
              """Modify model input type per subgraph."""
              subgraph = mo  

            Community Discussions

            QUESTION

            Docker standard_init_linux.go:228: exec user process caused: no such file or directory
            Asked 2022-Feb-08 at 20:49

            Whenever I am trying to run the docker images, it is exiting in immediately.

            ...

            ANSWER

            Answered 2021-Aug-22 at 15:41

            Since you're already using Docker, I'd suggest using a multi-stage build. Using a standard docker image like golang one can build an executable asset which is guaranteed to work with other docker linux images:

            Source https://stackoverflow.com/questions/68881023

            QUESTION

            Replacing whole string is faster than replacing only its first character
            Asked 2022-Jan-31 at 23:38

            I tried to replace a character a by b in a given large string. I did an experiment - first I replaced it in the whole string, then I replaced it only at its beginning.

            ...

            ANSWER

            Answered 2022-Jan-31 at 23:38

            The functions provided in the Python re module do not optimize based on anchors. In particular, functions that try to apply a regex at every position - .search, .sub, .findall etc. - will do so even when the regex can only possibly match at the beginning. I.e., even without multi-line mode specified, such that ^ can only match at the beginning of the string, the call is not re-routed internally. Thus:

            Source https://stackoverflow.com/questions/70927513

            QUESTION

            What is 'serviceability memory category' of Native Memory Tracking?
            Asked 2022-Jan-17 at 13:38

            I have an java app (JDK13) running in a docker container. Recently I moved the app to JDK17 (OpenJDK17) and found a gradual increase of memory usage by docker container.

            During investigation I found that the 'serviceability memory category' NMT grows constantly (15mb per an hour). I checked the page https://docs.oracle.com/en/java/javase/17/troubleshoot/diagnostic-tools.html#GUID-5EF7BB07-C903-4EBD-A9C2-EC0E44048D37 but this category is not mentioned there.

            Could anyone explain what this serviceability category means and what can cause such gradual increase? Also there are some additional new memory categories comparing to JDK13. Maybe someone knows where I can read details about them.

            Here is the result of command jcmd 1 VM.native_memory summary

            ...

            ANSWER

            Answered 2022-Jan-17 at 13:38

            Unfortunately (?), the easiest way to know for sure what those categories map to is to look at OpenJDK source code. The NMT tag you are looking for is mtServiceability. This would show that "serviceability" are basically diagnostic interfaces in JDK/JVM: JVMTI, heap dumps, etc.

            But the same kind of thing is clear from observing that stack trace sample you are showing mentions ThreadStackTrace::dump_stack_at_safepoint -- that is something that dumps the thread information, for example for jstack, heap dump, etc. If you have a suspicion for the memory leak in that code, you might try to build a MCVE demonstrating it, and submitting the bug against OpenJDK, or showing it to a fellow OpenJDK developer. You probably know better what your application is doing to cause thread dumps, focus there.

            That being said, I don't see any obvious memory leaks in StackFrameInfo, neither can I reproduce any leak with stress tests, so maybe what you are seeing is "just" thread dumping over the larger and larger thread stacks. Or you capture it when thread dump is happening. Or... It is hard to say without the MCVE.

            Update: After playing with MCVE, I realized that it reproduces with 17.0.1, but not with either mainline development JDK, or JDK 18 EA, or JDK 17.0.2 EA. I tested with 17.0.2 EA before, so was not seeing it, dang. Bisection between 17.0.1 and 17.0.2 EA shows it was fixed with JDK-8273902 backport. 17.0.2 releases this week, so the bug should disappear after you upgrade.

            Source https://stackoverflow.com/questions/70709971

            QUESTION

            Paramiko authentication fails with "Agreed upon 'rsa-sha2-512' pubkey algorithm" (and "unsupported public key algorithm: rsa-sha2-512" in sshd log)
            Asked 2022-Jan-13 at 14:49

            I have a Python 3 application running on CentOS Linux 7.7 executing SSH commands against remote hosts. It works properly but today I encountered an odd error executing a command against a "new" remote server (server based on RHEL 6.10):

            encountered RSA key, expected OPENSSH key

            Executing the same command from the system shell (using the same private key of course) works perfectly fine.

            On the remote server I discovered in /var/log/secure that when SSH connection and commands are issued from the source server with Python (using Paramiko) sshd complains about unsupported public key algorithm:

            userauth_pubkey: unsupported public key algorithm: rsa-sha2-512

            Note that target servers with higher RHEL/CentOS like 7.x don't encounter the issue.

            It seems like Paramiko picks/offers the wrong algorithm when negotiating with the remote server when on the contrary SSH shell performs the negotiation properly in the context of this "old" target server. How to get the Python program to work as expected?

            Python code

            ...

            ANSWER

            Answered 2022-Jan-13 at 14:49

            Imo, it's a bug in Paramiko. It does not handle correctly absence of server-sig-algs extension on the server side.

            Try disabling rsa-sha2-* on Paramiko side altogether:

            Source https://stackoverflow.com/questions/70565357

            QUESTION

            ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'
            Asked 2022-Jan-12 at 23:01

            I have this output :

            [Pandas-profiling] ImportError: cannot import name 'ABCIndexClass' from 'pandas.core.dtypes.generic'

            when trying to import pandas-profiling in this fashion :

            ...

            ANSWER

            Answered 2021-Aug-09 at 19:19

            Pandas v1.3 renamed the ABCIndexClass to ABCIndex. The visions dependency of the pandas-profiling package hasn't caught up yet, and so throws an error when it can't find ABCIndexClass. Downgrading pandas to the 1.2.x series will resolve the issue.

            Alternatively, you can just wait for the visions package to be updated.

            Source https://stackoverflow.com/questions/68704002

            QUESTION

            Struggling with TypeScript, React, Eslint and simple Arrow Functions components
            Asked 2022-Jan-06 at 21:59

            I have been struggling all morning with this issue and couldn't find the solution anywhere. I am new to typescript, and I am trying to set it up properly with Eslint and Prettier to ensure the code is properly formated.

            So, the issue I am facing when creating functional components. As per the cheatsheet, I am trying to export a simple component such as:

            ...

            ANSWER

            Answered 2021-Nov-11 at 16:43

            Ok, so I don't know if it is the correct answer, but finally changing the settings in Eslint helped me to change the type of function for Components. I added the following rule to my .eslintrc.js file:

            Source https://stackoverflow.com/questions/69928061

            QUESTION

            'AmplifySignOut' is not exported from '@aws-amplify/ui-react'
            Asked 2021-Dec-19 at 14:09

            I've run into this issue today, and it's only started today. Ran the usual sequence of installs and pushes to build the app...

            ...

            ANSWER

            Answered 2021-Nov-20 at 19:28

            I am following along with the Amplify tutorial and hit this roadblock as well. It looks like they just upgraded the react components from 1.2.5 to 2.0.0 https://github.com/aws-amplify/docs/pull/3793

            Downgrading ui-react to 1.2.5 brings back the AmplifySignOut and other components used in the tutorials.

            in package.json:

            Source https://stackoverflow.com/questions/70036160

            QUESTION

            Keyboard shortcut to split screen in half with source pane on left and console pane
            Asked 2021-Dec-18 at 08:11

            Is there a keyboard shortcut that splits the RStudio window in half with the source on the left and console on right (and hides all other panes) as per screenshot below?

            ...

            ANSWER

            Answered 2021-Dec-11 at 20:39

            The following might do the trick:

            Set up your own shortcut for Maximize Console

            1. Go to Tools -> Modify Keyboard Shortcuts
            2. Filter: Search for Maximize Console
            3. Under Shortcut add your own shortcut such as Ctrl C M for Console Maximize

            Keep left side for Source ONLY (if you think that it OK).

            1. Go to Preferences (Command ,)
            2. Go to Pane Layout and deselect all in the lower-left corner

            The History panel that you had to deselct from the Source side you can add to the lower-right panel; and then open it using control 4. And you can do the same for the Help panel, which you open using Control 3

            Source https://stackoverflow.com/questions/70258959

            QUESTION

            Merge separate divergent size and fill (or color) legends in ggplot showing absolute magnitude with the size scale
            Asked 2021-Dec-13 at 03:52

            I am plotting some multivariate data where I have 3 discrete variables and one continuous. I want the size of each point to represent the magnitude of change rather than the actual numeric value. I figured that I can achieve that by using absolute values. With that in mind I would like to have negative values colored blue, positive red and zero with white. Than to make a plot where the legend would look like this:

            I came up with dummy dataset which has the same structure as my dataset, to get a reproducible example:

            ...

            ANSWER

            Answered 2021-Dec-08 at 03:15

            One potential solution is to specify the values manually for each scale, e.g.

            Source https://stackoverflow.com/questions/70269045

            QUESTION

            Why is is_trivially_copyable_v different in GCC and MSVC?
            Asked 2021-Dec-08 at 16:06

            When running this simple program, different behaviour is observed depending on the compiler.

            It prints true when compiled by GCC 11.2, and false when compiled by MSVC 19.29.30137 with the (both are the latest release as of today).

            ...

            ANSWER

            Answered 2021-Dec-08 at 16:06

            GCC and Clang report that S is trivially copyable in C++11 through C++23 standard modes. MSVC reports that S is not trivially copyable in C++14 through C++20 standard modes.

            N3337 (~ C++11) and N4140 (~ C++14) say:

            A trivially copyable class is a class that:

            • has no non-trivial copy constructors,
            • has no non-trivial move constructors,
            • has no non-trivial copy assignment operators,
            • has no non-trivial move assignment operators, and
            • has a trivial destructor.

            By this definition, S is trivially copyable.

            N4659 (~ C++17) says:

            A trivially copyable class is a class:

            • where each copy constructor, move constructor, copy assignment operator, and move assignment operator is either deleted or trivial,
            • that has at least one non-deleted copy constructor, move constructor, copy assignment operator, or move assignment operator, and
            • that has a trivial, non-deleted destructor

            By this definition, S is not trivially copyable.

            N4860 (~ C++20) says:

            A trivially copyable class is a class:

            • that has at least one eligible copy constructor, move constructor, copy assignment operator, or move assignment operator,
            • where each eligible copy constructor, move constructor, copy assignment operator, and move assignment operator is trivial, and
            • that has a trivial, non-deleted destructor.

            By this definition, S is not trivially copyable.

            Thus, as published, S was trivally copyable in C++11 and C++14, but not in C++17 and C++20.

            The change was adopted from DR 1734 in February 2016. Implementors generally treat DRs as though they apply to all prior language standards by convention. Thus, by the published standard for C++11 and C++14, S was trivially copyable, and by convention, newer compiler versions might choose to treat S as not trivially copyable in C++11 and C++14 modes. Thus, all compilers could be said to be correct for C++11 and C++14.

            For C++17 and beyond, S is unambiguously not trivially copyable so GCC and Clang are incorrect. This is GCC bug #96288 and LLVM bug #39050

            Source https://stackoverflow.com/questions/70267387

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install per

            You can download it from GitHub.
            You can use per 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/rlcode/per.git

          • CLI

            gh repo clone rlcode/per

          • sshUrl

            git@github.com:rlcode/per.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Reinforcement Learning Libraries

            Try Top Libraries by rlcode

            reinforcement-learning

            by rlcodePython

            rlcode-tutorial

            by rlcodePython

            dqn

            by rlcodePython