Researcher says off-policy RL for post-training could be a huge breakthrough
andersonbcdefg · x · 2026-07-22
A researcher says they would bet heavily on off-policy RL for post-training if they were building a new lab. The argument is simple: the approach may never work, but if it does, it would be a major breakthrough for how models are trained after pretraining.
This is a directional take rather than a result, but it points to a potentially important research bet in post-training optimization.
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