ProgLearn
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Add Progressive Reinforcement Capabilities (potentially via Q-Learning)
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
I am interested in this issue. @javierhow is willing to help.
I'm interested in this issue if it's available
I'm also interested in the issue.