Eval exp #15
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Eval exp #15
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Owner
guidj
commented
Apr 21, 2024
•
- Policy evaluation experiments
- Reward estimation experiments - with LEAST and OLS
- Defaults data type to float64 - for more accuracy and consistency in results
E.g. `disks=4` was failing Kernel die. No error message
- 2500 steps; all configs - RMSE and MAE - Deletes pi-equi plots (suitable for control) - Fixes exported plots (cut out axis label)
Observe prediction errors at higher iterations
Avoid type coercion
To calculate coverage
Pre-fill buffer with entries for known terminal states
- Plain: rely completly on exploration - Factor terminal states: only collect data for non-terminal states - Prefill buffer: fill matrix with entries for terminal states
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