Non-Functional Refactors (#72)

Remove training code, simplify datagen and some engine code.

No functional change.

Bench: 2387354

Cargo.toml

@@ -17,7 +17,7 @@ uci-minimal = []
 tunable = []
 
 [workspace]
-members = ["datagen", "train/policy", "train/value"]
+members = ["datagen"]
 resolver = "2"
 
 [dependencies]

README.md

@@ -22,6 +22,11 @@ calculate many important search heuristics, e.g. CPUCT scaling
 
 Functional patches are required to pass on montytest, with an STC followed by an LTC test.
 
+Monty's networks are trained using [montytrain](https://github.com/official-monty/montytrain),
+which itself is built on top of [bullet](https://github.com/jw1912/bullet).
+
+Monty produces data in the formats found in [montyformat](https://github.com/official-monty/montyformat).
+
 ## ELO History
 
 <div align="center">

build.rs

@@ -17,8 +17,8 @@ fn main() {
     let policy_file_name = extract_network_name("src/networks/policy.rs", "PolicyFileDefaultName");
 
     // Define fixed paths where the networks will be stored
-    let value_path = "resources/value.network";
-    let policy_path = "resources/policy.network";
+    let value_path = "value.network";
+    let policy_path = "policy.network";
 
     // Validate and download the network files if needed
     validate_and_download_network(&value_file_name, &value_path);

datagen/Cargo.toml

@@ -6,4 +6,4 @@ authors = ["Jamie Whiting"]
 
 [dependencies]
 monty = { path = "../", features = ["datagen"] }
-montyformat = { git = 'https://github.com/official-monty/montyformat.git', tag = "v0.2.0" }
+montyformat = { git = 'https://github.com/official-monty/montyformat.git', tag = "v0.3.0" }