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Add Progressive Reinforcement Capabilities (potentially via Q-Learning)

Open levinwil opened this issue 5 years ago • 3 comments

Is your feature request related to a problem? Please describe. We would like to devise a Reinforcement approach that leverages progressive learning to improve its in-task predictions in mapping states to actions.

Describe the solution you'd like Treat Q-Learning as a classification problem (where a network or forest replaces the state to action map) and continue as normal.

Here's a tutorial for Q-Learning in Keras for reference: https://keras.io/examples/rl/deep_q_network_breakout/

Describe alternatives you've considered None considered, but there are potentially more reinforcement learning approaches we could try

levinwil avatar Oct 08 '20 01:10 levinwil

I am interested in this issue. @javierhow is willing to help.

sparthib avatar Jan 25 '21 09:01 sparthib

I'm interested in this issue if it's available

shoulton avatar Oct 07 '21 17:10 shoulton

I'm also interested in the issue.

mordred-skywalker avatar Oct 07 '21 18:10 mordred-skywalker