Track manipulation, locomotion and embodied systems.
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Exposing the critic to both successful and failed same-prompt rollouts as contrastive foils resolves PPO's notoriously brittle credit assignment in multi-step reasoning—retaining its efficacy even when paired with a downscaled critic.
Self-improving search agents thrive when feedback and policy evolution are intertwined, leading to sustained performance gains and reduced hallucinations.
Stop wasting compute on full rollouts: ADWIN dynamically adapts on-policy distillation windows, slashing training costs by up to 4.1x without sacrificing accuracy on reasoning tasks.