approaches/value-policy-learning/oneply-q-prune/rust/Cargo.tomlTOML18 lines · 582 B
[package]
name = "drop7-oneply-q"
version = "0.1.0"
edition = "2021"
description = "One-ply linear action values as pruning priors and leaf terms inside fair expectimax (TH-20260902-oneply-linear-q-prune-prior-28faed27)"
license = "MIT"

# Std-only, like drop7-rs and the Klein-Friedmann crate it borrows the six
# drop features and the cohort driver from.
[dependencies]
drop7-rs = { path = "../../../fair-expectimax/rust-engine" }
drop7-kf-linear-q = { path = "../../klein-friedmann-linear-q/rust" }

[profile.release]
opt-level = 3
lto = "fat"
codegen-units = 1
panic = "unwind"