i don't understand the asynchronous rl claim for higher throughput. you can colocate training and generation on the same set of gpus and the switching bottleneck is minimal. this still achieves high throughput while avoiding off policy training.
practical, modern GRPO tweaks as described in Meta's Code World Models paper
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