feat: abstracted checkpoint eval configs

configs/evaluation/default.yaml

@@ -0,0 +1,8 @@
+# Default Evaluation Configuration
+# Settings used for checkpoint evaluation during training.
+
+evaluate_checkpoints: false
+# Max number of control steps during evaluation rollout.
+eval_max_steps: 5000
+# Seed for deterministic evaluation reset.
+eval_seed: 0

configs/logging/default.yaml

@@ -10,7 +10,4 @@ save_checkpoints: true
 checkpoint_frequency: 100
 upload_final_model: false
 upload_checkpoints: false
-hf_entity: ""
-evaluate_checkpoints: false
-eval_max_steps: 5000
-eval_seed: 0
+hf_entity: ""

configs/main_config.yaml

@@ -6,6 +6,7 @@ defaults:
   - brittle_star_config
   - experiment: base
   - logging: default
+  - evaluation: default
   - ppo: default
   - architecture: centralized
   - morphology: 5_arms_full