Project description

lightRaven -- Offline RL with Maximum Speed

This library provides convenient tools for people to create their own seldonian algorithms with optimum performance. A detailed example is also included in dynamic_training.ipynb. Performance test is in ci_performance.ipynb.

Dependencies

gym==0.17.3
numpy==1.19.1
scipy==1.5.2
numba == 0.51.2

Supplementary Materials

Definition of Seldonian Framework
- Preventing undesirable behavior of intelligent machines
- High Confidence Policy Improvement
Definition of different Importance Sampling estimators
- High Confidence Off-Policy Evaluation
Definition of the new concentration bound
- A New Confidence Interval for the Mean of a Bounded Random Variable

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This version

0.1.0

Dec 16, 2020

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