compute_rl_scenarios {RLescalation} | R Documentation |
Compute DLT Probability Scenarios for Reinforcement Learning
Description
Compute the scenarios described in Sect. 2.2 of the original paper.
Usage
compute_rl_scenarios(J, target, epsilon, delta, lower = 0.1, upper = 0.8)
Arguments
J |
A positive integer value. The number of doses. |
target |
A positive numeric value. The target DLT probability. |
epsilon |
A positive numeric value. The acceptable range of target DLT
probabilities is defined as [ |
delta |
A positive numeric value. The unacceptable ranges of target DLT
probabilities are defined as [0, |
lower |
A positive numeric value. Values lower than |
upper |
A positive numeric value. Values higher than |
Value
A named list of three elements:
- prob: a list of DLT probability scenarios
- MTD: a list of true MTD indices (Note that -1
means "no MTD")
- weight: a vector of weights for each scenario
Examples
scenarios <- compute_rl_scenarios(J = 6, target = 0.25, epsilon = 0.04, delta = 0.1)
print(scenarios)