Comments (2)
robinvanemden
commented on May 27, 2024
Hi @pstansell - first of all, my apologies for my late reply! Is this issue still of relevance to you?
from contextual.
pstansell
commented on May 27, 2024
Hello Robin,
Yes, this issue is still relevant to me. The reason I'd like the predicted values of each arm is so that I can rank the arms in order of their predicted values. I'd like to rank the arms before a particular arm is chosen.
Thanks,
Paul
from contextual.
Related Issues (20)
- Some minor clarifications in the documentation HOT 1
- Help with creating a custom bandit. Error message: cannot add bindings to a locked environment HOT 3
- How to change the discount factor? HOT 2
- Minor update required for EpsilonFirstPolicy object input in documentation article HOT 1
- CRAN packages' problems on R-devel: `[[<-`(NULL, *)
- cannot have more than two simulations per epoch using benchmark MAB policy in offline bandit CMAB policy evaluation HOT 4
- contextual do_parallel dosnt work on MRAN 3.5.1 HOT 3
- Saved the trained agent and hold the thetas unchanged for simulation on new dataset
- Contextual, determinism and setting seeds HOT 1
- Arm choice sequence from the simulation? HOT 1
- minor correction for statement in demo "Demo: Bandits, Propensity Weighting & Simpson’s Paradox in R" HOT 2
- Confusing assignments in method get_reward for OfflineDoublyRobustBandit HOT 2
- Possible bug in Exp3Policy HOT 3
- How to get predictions of new test data?
- Package removed from CRAN
- Example in ContextualBinaryBandit doc does not run HOT 2
- abline() does not draw lines where expected HOT 2
- Typo in documentation for ContextualEpochGreedyPolicy HOT 2
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from contextual.