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corl-experiments

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Use when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.

When to use

• designing experiments for CoRL robot-learning papers
• auditing experiment evidence
• defining seeds and evaluation-episode counts
• measuring sim-to-real gap
• ensuring baseline fairness across BC/RL/VLA families
• defining generalization splits
• calculating statistics for success-rate claims

When not to use

• topic selection for CoRL papers

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