tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
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2026SEL3-project-Brittle_St.../configs
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Tibo De Peuter e9b52e9e8f
refactor: migrate configs from JSON to YAML
2026-04-08 20:37:47 +02:00
..
hpc Apply suggestion from @tdpeuter 2026-04-06 17:08:48 +02:00
.gitkeep Initial commit 2026-02-26 14:18:39 +01:00
default_ppo.yaml refactor: set wandb entity and simplify READMEs 2026-04-01 10:26:39 +02:00
dev_test.yaml refactor: set wandb entity and simplify READMEs 2026-04-01 10:26:39 +02:00
example.yaml refactor: migrate configs from JSON to YAML 2026-04-08 20:37:47 +02:00
personal_template.yaml refactor: set wandb entity and simplify READMEs 2026-04-01 10:26:39 +02:00
production_training.yaml Merge branch 'dev' into feat/wandb-logging 2026-04-08 16:15:38 +02:00
README.md refactor: set wandb entity and simplify READMEs 2026-04-01 10:26:39 +02:00

README.md

Configuration Files

This directory contains configuration files for training experiments.

Usage

Use --config with src/train.py to run an experiment:

python src/train.py --config configs/default_ppo.yaml

You can overriding settings via CLI:

python src/train.py --config configs/default_ppo.yaml --learning-rate 0.001

Available Configurations

  • default_ppo.yaml: Baseline config.
  • dev_test.yaml: Fast iteration for development.
  • production_training.yaml: Full-scale training.
  • personal_template.yaml: Template for team members to customize.