Reinforcement Learning on real time data over a web server The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow can I model open environment in reinforcement learning?Underlying model for prediction using different prediction variablesSupervised learning vs reinforcement learning for a simple self driving rc carAnomaly detection in Time Series Data - Help RequiredHow can I use machine learning methods on modelling time series data?Multivariable real time system for fraud detectionFind-out abnormal behavior over the timeHow does real world machine learning production systems run?Time series forecasting using multiple time series as training dataUsing different timesteps for training data and target value
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Reinforcement Learning on real time data over a web server
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow can I model open environment in reinforcement learning?Underlying model for prediction using different prediction variablesSupervised learning vs reinforcement learning for a simple self driving rc carAnomaly detection in Time Series Data - Help RequiredHow can I use machine learning methods on modelling time series data?Multivariable real time system for fraud detectionFind-out abnormal behavior over the timeHow does real world machine learning production systems run?Time series forecasting using multiple time series as training dataUsing different timesteps for training data and target value
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Question: is it possible to implement a reinforcement learning model over a NodeJS server?
This server would be receiving binary forms of data (open /close; yes/no) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.
Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
edited Mar 1 at 11:23
bradS
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
$endgroup$
add a comment |
$begingroup$
Question: is it possible to implement a reinforcement learning model over a NodeJS server?
This server would be receiving binary forms of data (open /close; yes/no) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.
Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
edited Mar 1 at 11:23
bradS
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
$endgroup$
add a comment |
$begingroup$
Question: is it possible to implement a reinforcement learning model over a NodeJS server?
This server would be receiving binary forms of data (open /close; yes/no) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.
Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
edited Mar 1 at 11:23
bradS
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
$endgroup$
Question: is it possible to implement a reinforcement learning model over a NodeJS server?
This server would be receiving binary forms of data (open /close; yes/no) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.
Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
machine-learning deep-learning time-series dataset reinforcement-learning
edited Mar 1 at 11:23
bradS
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
edited Mar 1 at 11:23
bradS
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
edited Mar 1 at 11:23
bradS
657213
edited Mar 1 at 11:23
bradS
657213
edited Mar 1 at 11:23
bradS
657213
657213
asked Mar 1 at 5:49
Savinay_Savinay_
774
asked Mar 1 at 5:49
Savinay_Savinay_
774
asked Mar 1 at 5:49
Savinay_Savinay_
774
774
add a comment |
add a comment |
1 Answer
1
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votes
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Yes - You need to define an Agent, Environment, State, and Rewards:
Agent - The current week process.
Environment - Server.
State - Current data.
Rewards - Predicted future values are the same observed values.
Then implement in JavaScript. One JavaScript framework is REINFORCEjs
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Yes - You need to define an Agent, Environment, State, and Rewards:
Agent - The current week process.
Environment - Server.
State - Current data.
Rewards - Predicted future values are the same observed values.
Then implement in JavaScript. One JavaScript framework is REINFORCEjs
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
$endgroup$
add a comment |
$begingroup$
Yes - You need to define an Agent, Environment, State, and Rewards:
Agent - The current week process.
Environment - Server.
State - Current data.
Rewards - Predicted future values are the same observed values.
Then implement in JavaScript. One JavaScript framework is REINFORCEjs
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
$endgroup$
add a comment |
$begingroup$
Yes - You need to define an Agent, Environment, State, and Rewards:
Agent - The current week process.
Environment - Server.
State - Current data.
Rewards - Predicted future values are the same observed values.
Then implement in JavaScript. One JavaScript framework is REINFORCEjs
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
$endgroup$
Yes - You need to define an Agent, Environment, State, and Rewards:
Agent - The current week process.
Environment - Server.
State - Current data.
Rewards - Predicted future values are the same observed values.
Then implement in JavaScript. One JavaScript framework is REINFORCEjs
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
answered Mar 1 at 18:40
Brian SpieringBrian Spiering
4,2681129
4,2681129
add a comment |
add a comment |
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