domains / families / research / corl-reproducibility

corl-reproducibility

separate

Use when making a CoRL robot-learning paper reproducible — pinning simulator and driver versions, releasing training configs, demonstration data and checkpoints, documenting hardware setups that cannot be rerun, seed policy, evaluation scripts, and honest availability statements for code, data, and robot platforms.

When to use

• pinning simulator and driver versions
• releasing training configs
• releasing demonstration data and checkpoints
• documenting hardware setups
• defining seed policy
• documenting evaluation scripts
• writing availability statements

When not to use

• rerunning hardware experiments
• bit-identical training runs

Skill page

Source