Releases: LearningToOptimize/DecisionRules.jl
Releases · LearningToOptimize/DecisionRules.jl
v0.1.0
DecisionRules v0.1.0
Closed issues:
- Implement per-stage decomposition with DiffOpt implicit differentiation and objective sensitivity (#6)
- Extend Deterministic Equivalent policies to work with general uncertainties (#15)
- Target-penalty annealing: a constant slack-penalty weight either hides target violations or degrades the learned policy (#41)
- Deterministic-equivalent evaluation can overstate policy quality — add a stage-wise rollout evaluation and a target-violation metric (#42)