baselines | OpenAI Baselines: high-quality implementations of reinforcement learning algorithms | Machine Learning library
kandi X-RAY | baselines Summary
kandi X-RAY | baselines Summary
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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Top functions reviewed by kandi - BETA
- 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
baselines Key Features
baselines Examples and Code Snippets
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.
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
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(
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
pkgxml = project.GetBaselines(project.GUIDtoXML(pkgguid), "")
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
try:
import gym_basic
except ImportError:
gym_basic = None
basic-v0:
# Hyperparameters go here...
model = PPOPolicy(
envF.observation_space,
envF.action_space,
MlpPolicy,
learning_rate=0.001
)
#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
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
Trending Discussions on baselines
QUESTION
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...
And then I can locate the description of VA2109 in here ...
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 09:35Note 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:
QUESTION
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 21:15How 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.
QUESTION
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 12:56To 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
QUESTION
ANSWER
Answered 2021-Nov-07 at 17:01I 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.
QUESTION
I've written a Python function to retrieve baselines from a PackageGUI:
...ANSWER
Answered 2021-Nov-08 at 18:16project.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:
QUESTION
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 09:16The 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.
QUESTION
I have got a table like this
...ANSWER
Answered 2021-Oct-21 at 05:13First 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
QUESTION
Why Oracle "DDL" statements (like "CTAS"), after executed, does not shown in V$SQL view ? How can get "SQL_ID" of that? I want to use "SQL_ID" in SQl plan baselines. TNX
...ANSWER
Answered 2021-Sep-29 at 13:24CTAS operations appear in the v$sql
view
QUESTION
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:
- Wrap Java env/agent code into REST API, and implement custom environment in Python that calls that API to step through the environment.
- 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 09:13The 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.
QUESTION
I have been trying to integrate a new page into a project i am doing.
...ANSWER
Answered 2021-Jul-21 at 05:27Line 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
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install baselines
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:.
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