baselines | OpenAI Baselines: high-quality implementations of reinforcement learning algorithms | Machine Learning library

 by   openai Python Version: 0.1.5 License: MIT

kandi X-RAY | baselines Summary

kandi X-RAY | baselines Summary

baselines is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. baselines 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 baselines' or download it from GitHub, PyPI.

OpenAI Baselines is a set of high-quality implementations of reinforcement learning algorithms. These algorithms will make it easier for the research community to replicate, refine, and identify new ideas, and will create good baselines to build research on top of. Our DQN implementation and its variants are roughly on par with the scores in published papers. We expect they will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones.
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            kandi-support Support

              baselines has a medium active ecosystem.
              It has 14477 star(s) with 4701 fork(s). There are 634 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 407 open issues and 435 have been closed. On average issues are closed in 60 days. There are 86 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of baselines is 0.1.5

            kandi-Quality Quality

              baselines has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              baselines 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

              baselines releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              baselines saves you 5497 person hours of effort in developing the same functionality from scratch.
              It has 11517 lines of code, 1003 functions and 150 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed baselines and discovered the below as its top functions. This is intended to give you an instant insight into baselines implemented functionality, and help decide if they suit your requirements.
            • Train the network
            • Generate rollout outputs
            • Train the model
            • Return explained variance
            • Set global seed
            • Plot results
            • Calculate one - sided E - sided energy distribution
            • Performs symmetric symmetric symmetric regression
            • Convert a time series to x y coordinates
            • Sample from the distribution
            • Evaluate an environment
            • LSTM network
            • Profile a TF running mean standard deviation
            • Prepare ddp params
            • Test distribution
            • Runs the runner
            • Test the Mpi
            • Plots the experiment summary
            • Setup the stats
            • A wrapper for subprocess
            • Compute gradients
            • Load results from a directory
            • Argument parser
            • Generate rollout rewards
            • Build a train function
            • Create DDPG agent
            • Go to the given objective
            Get all kandi verified functions for this library.

            baselines Key Features

            No Key Features are available at this moment for baselines.

            baselines Examples and Code Snippets

            copy iconCopy
            DATA_DIR_ROOT=data/
            KNOWLEDGE_DIR_ROOT=data/knowledge
            OPENBOOKQA_DIR=${DATA_DIR_ROOT}/OpenBookQA-V1-Sep2018
            
            ranking_out_dir=${OPENBOOKQA_DIR}/Data/Main/ranked_knowledge/openbook
            mkdir -p ${ranking_out_dir}
            data_file=${OPENBOOKQA_DIR}/Data/Main/full.  
            copy iconCopy
            from mlagents_envs.environment import UnityEnvironment
            from mlagents_envs.envs import UnityToGymWrapper
            from baselines.common.vec_env.subproc_vec_env import SubprocVecEnv
            from baselines.common.vec_env.dummy_vec_env import DummyVecEnv
            from baselines.b  
            copy iconCopy
            pip install git+git://github.com/openai/baselines
            
            import gym
            
            from baselines import deepq
            from baselines import logger
            
            from mlagents_envs.environment import UnityEnvironment
            from mlagents_envs.envs.unity_gym_env import UnityToGymWrapper
            
            
            def main(  
            Stablebaselines3 logging reward with custom gym
            Pythondot img4Lines of Code : 13dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class TensorboardCallback(BaseCallback):
                """
                Custom callback for plotting additional values in tensorboard.
                """
            
                def __init__(self, verbose=0):
                    super(TensorboardCallback, self).__init__(verbose)
            
                def _on_step(se
            Enterprise Architect: GetBaselines does not work in python
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pkgxml = project.GetBaselines(project.GUIDtoXML(pkgguid), "")
            
            What is missing in OpenAI Gym registration?
            Pythondot img6Lines of Code : 8dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            python3 train.py --algo td3 --env basic-v0 --eval-freq 1000 --save-freq 5000 --gym-packages gym_basic
            
            basic-v0:
              n_timesteps: 300000
              policy: 'MlpPolicy'
              noise_type: 'ornstein-uhlenbeck'
              noise_std: 0.5
            
            What is missing in OpenAI Gym registration?
            Pythondot img7Lines of Code : 8dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            try:
                import gym_basic
            except ImportError:
                gym_basic = None
            
            basic-v0:
              # Hyperparameters go here...
            
            AttributeError: 'DummyVecEnv' object has no attribute 'shape'
            Pythondot img8Lines of Code : 7dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            model = PPOPolicy(
                envF.observation_space, 
                envF.action_space, 
                MlpPolicy, 
                learning_rate=0.001
            )
            
            Divide dataframe column by a specific cell
            Pythondot img9Lines of Code : 28dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
             #Mask all whose type is baseline into a new datframe and merge to the main df
             g=pd.merge(df, df[df.type.eq('baseline')].drop(columns='type'),how='left', on='date', suffixes=('', '_right'))
            
             #Calculate the score_ratio and drop the extra 
            TypeError: an integer is required when using Cython
            Pythondot img10Lines of Code : 18dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                    for k in range(self.population_size):
                        weights_population = self._get_weight_from_population(self.weights, population[k])
                        rewards[k] = self.reward_function(weights_population)
            
                   

            Community Discussions

            QUESTION

            How do I specify multiple rows in an Azure Vulnerability Assessment baseline definition in my ARM (JSON) template?
            Asked 2022-Mar-07 at 09:35

            I'm trying to add some Azure Vulnerability Assessment baseline definitions to my ARM templates. I use JSON for my ARM templates. I cannot find any documentation on how to specify certain VA baseline definitions, though, namely ones that need to have multiple rows in the baselines.

            Specifically, I'm trying to add a baseline defintiion for VA2109. I can locate the documentation for how to define a baseline VA entry in a general sense, which is here...

            https://docs.microsoft.com/en-us/azure/templates/microsoft.sql/servers/databases/vulnerabilityassessments/rules/baselines?tabs=json

            And then I can locate the description of VA2109 in here ...

            https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-vulnerability-assessment-rules#authentication-and-authorization

            But neither of those tell me how to include more than one user-role mapping. For example, below is what I currently have, which works and lets me specify that a user should have data writer role. But, I also want to specify that the user should have data reader and ddl admin roles.

            ...

            ANSWER

            Answered 2022-Mar-07 at 09:35

            Note that baselineResults is an array of rows.
            You will need to add each row as an JSON object to that array.

            Also, note that each result row should include all columns so you should also include "Principal Type" and "Authentication Type" rows.

            It should look something like that:

            Source https://stackoverflow.com/questions/71375111

            QUESTION

            Finding minimums in specified intervals for time series data
            Asked 2022-Feb-14 at 21:15

            I have a set of lab values I want to trend over time in relation to a date of hospital admission. Each patient had variable entry's for this lab/follow up time. My goal is to identify the minimum value of this lab at various time intervals after their admission (date_one in the df) ie day 0-30, day 31-90, 1-2 years, 2-3, 3-4 etc, until their last follow up, in order to help me identity outliers that are a certain threshold above their baseline. As this lab value can change naturally over time I want to find these minimums to establish new baselines. As each patient has variable follow up, some up to 20 years, I was having trouble finding a function to find the local minimums that wasn't using filtering and mutate to make a new column for every interval I desired. My dput output is below, if this is incorrect formatting please let me know!

            ...

            ANSWER

            Answered 2022-Feb-14 at 21:15

            How about something like this? It has you specify the different segment breaks as days (can easily convert this to months or something else but will have to change other code), then for each of these segments, isolates the rows that are within the range of those breaks, and then finds the minimum of those. If there are no values in those dates it will return an NA. This should work for your data provided, if you want to apply this over a data frame with multiple ids let me know, that should just be an extra little loop.

            Source https://stackoverflow.com/questions/71115760

            QUESTION

            The right way to install stable-baselines?
            Asked 2022-Jan-13 at 12:56

            I am trying to install stable-baselines and run the first two lines from Getting Started section of the online manual but no option is working. I started with

            ...

            ANSWER

            Answered 2022-Jan-13 at 12:56

            To quote the github readme:

            Note: Stable-Baselines supports Tensorflow versions from 1.8.0 to 1.14.0. Support for Tensorflow 2 API is planned.

            The same github readme also recommends to use stable-baselines3, as stable-baselines is currently only being maintained and its functionality is not extended. Thus, I would not expect the TF1 -> TF2 update any time soon.

            If you can not install this version of tensorflow, I suggest to use stable-baselines3 and follow the examples. The code you posted above is not consistent with the stable-baselines3 docs, which import the MlpPolicy as

            Source https://stackoverflow.com/questions/70696295

            QUESTION

            ModuleNotFoundError: No module named 'stable_baselines3'
            Asked 2021-Nov-13 at 06:14

            I'm trying to learn reinforcement learning, doing coding on Jupyter notebook. But when I try to install stable baselines I'm getting an error even though I've installed it and upgraded it several times. I'm attaching the screenshots as well. Appreciate any help.

            ...

            ANSWER

            Answered 2021-Nov-07 at 17:01

            I have just changed my answer, after talking to you I realised you have not installed in on your local computer.

            If you are going to use jupyter.org's jupyter notebook, there is a better option. Jupyter.org's notebook doesn't have the best support for third party modules like this. It's just meant for testing small snippets of code. It probably doesn't have all the other requirements for running stable-baselines3 because it might be running on a minimal server environment. It's not meant for heavy usage like what you are suggesting.

            Go to this website, https://colab.research.google.com and login using your google / gmail account. It's completely free.

            Create a new notebook.

            Type this in the cell and run it.

            Source https://stackoverflow.com/questions/69873630

            QUESTION

            Enterprise Architect: GetBaselines does not work in python
            Asked 2021-Nov-08 at 18:16

            I've written a Python function to retrieve baselines from a PackageGUI:

            ...

            ANSWER

            Answered 2021-Nov-08 at 18:16

            project.GetBaselines accepts two parameters of type String, and you only passed one parameter.
            See the documentation

            GetBaselines (string PackageGUID, string ConnectString)

            String

            Notes: Returns a list (in XML format) of Baselines associated with the supplied Package GUID.

            Parameters:

            • PackageGUID: String - the GUID (in XML format) of the Package to get Baselines for
            • ConnectString: String - not currently used

            So you would need to call it like this:

            Source https://stackoverflow.com/questions/69883099

            QUESTION

            How to apply Materials "Responsive layout grid" to Android Compose?
            Asked 2021-Oct-29 at 09:16

            I would like to align my components based on the Material responsive layout grid, as visualized by from https://material.io/design/layout/responsive-layout-grid.html#columns-gutters-and-margins.

            I don't necessarily want my content to be included in a column but rather put baselines on either a start or an end of a column.

            A simple example:

            ...

            ANSWER

            Answered 2021-Oct-29 at 09:16

            The requirement is not clear. Please comment if this is not what you are looking for.

            To have a button with a width of 2 columns in a 4 column grid system. You can use weight and Spacer to achieve the requirement.

            This starts at starting of Column 2 and ends at the ending of Column 3.

            Source https://stackoverflow.com/questions/69766087

            QUESTION

            Select all rows expect previous and next day data of a specific condition
            Asked 2021-Oct-21 at 05:13

            I have got a table like this

            ...

            ANSWER

            Answered 2021-Oct-21 at 05:13

            First you find the baseline_date and then from there get the previous and next date. After that just select from the table excluding that date range

            Source https://stackoverflow.com/questions/69654744

            QUESTION

            Oracle DDL statment ( like CTAS) , after executed, not show in V$SQL
            Asked 2021-Oct-02 at 09:08

            Why Oracle "DDL" statements (like "CTAS"), after executed, does not shown in V$SQL view ? How can get "SQL_ID" of that? I want to use "SQL_ID" in SQl plan baselines. TNX

            ...

            ANSWER

            Answered 2021-Sep-29 at 13:24

            CTAS operations appear in the v$sql view

            Source https://stackoverflow.com/questions/69374993

            QUESTION

            Reinforcement Learning - Custom environment implementation in Java for Python RL framework
            Asked 2021-Sep-20 at 09:13

            I have a bunch of Java code that constitutes an environment and an agent. I want to use one of the Python reinforcement learning libraries (stable-baselines, tf-agents, rllib, etc.) to train a policy for the Java agent/environment. And then deploy the policy on the Java side for production. Is there standard practice for incorporating other languages into Python RL libraries? I was thinking of one of the following solutions:

            1. Wrap Java env/agent code into REST API, and implement custom environment in Python that calls that API to step through the environment.
            2. Use Py4j to invoke Java from Python and implement custom environment.

            Which one would be better? Are there any other ways?

            Edit: I ended up going the former - deploying a web server that encapsulates the environments. works quite well for me. Leaving the question open in case there is a better practice to handle this kind of situations!

            ...

            ANSWER

            Answered 2021-Sep-20 at 09:13

            The first approach is fine. RLLib implemented it the same way for the PolicyServerInput. Which is used for external Envs. https://github.com/ray-project/ray/blob/82465f9342cf05d86880e7542ffa37676c2b7c4f/rllib/env/policy_server_input.py

            So take a look into their implementation. It uses Python data serialization, so I guess an own impl would be best to connect to Java.

            Source https://stackoverflow.com/questions/69035664

            QUESTION

            "KeyError" for PySimpleGUI Project Integration
            Asked 2021-Jul-21 at 05:27

            I have been trying to integrate a new page into a project i am doing.

            ...

            ANSWER

            Answered 2021-Jul-21 at 05:27

            Line window = page2b() creates new window but it doesn't update values in window, event, values - it would need to run again sg.read_all_windows()

            So you should run if values['-EC-'] directly in while True. But it will be execute for every window so you would have to check if '-EC-' in values and values['-EC-'] or you would have to check if window == window2 but it needs also use window2 = page2b() instead of window = page2b() or even better window2b = page2b() to recognize if you run page2a or page2b

            Source https://stackoverflow.com/questions/68463373

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

            Vulnerabilities

            No vulnerabilities reported

            Install baselines

            Clone the repo and cd into it:. If you don't have TensorFlow installed already, install your favourite flavor of TensorFlow. In most cases, you may use. to install Tensorflow 1.14, which is the latest version of Tensorflow supported by the master branch. Refer to TensorFlow installation guide for more details.
            Clone the repo and cd into it: git clone https://github.com/openai/baselines.git cd baselines
            If you don't have TensorFlow installed already, install your favourite flavor of TensorFlow. In most cases, you may use pip install tensorflow-gpu==1.14 # if you have a CUDA-compatible gpu and proper drivers or pip install tensorflow==1.14 to install Tensorflow 1.14, which is the latest version of Tensorflow supported by the master branch. Refer to TensorFlow installation guide for more details.
            Install baselines package pip install -e .
            All unit tests in baselines can be run using pytest runner:.

            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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            Install
          • PyPI

            pip install baselines

          • CLONE
          • HTTPS

            https://github.com/openai/baselines.git

          • CLI

            gh repo clone openai/baselines

          • sshUrl

            git@github.com:openai/baselines.git

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