How to Stop Shipping Low-Quality RL Environments (with Examples)
Low-quality RL training environments and broken harnesses actively degrade models and ruin training runs.
“researchers don’t want your broken RL environments because they will make our models worse”
An RL practitioner who worked on Gemini argues that vendors frequently ship unreliable RL environments and harnesses that teach models the wrong things and waste training runs. The post catalogs common harness failures and fixes, highlighting environment/data quality as an under-appreciated bottleneck in post-training and RL infrastructure.