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Introduces Self-Review Reinforcement Learning (SRRL), a training framework that embeds a self-review step into RL episodes to transform sparse environmental feedback into behavioral improvements, using cross-episode memory and selective policy distillation. Evaluated on GSM8K, SRRL outperforms standard RLVR with GRPO across Qwen 3-4B and OLMo-3-7B models.
DiffusionOPD proposes a multi-task training paradigm for diffusion models that uses online policy distillation to efficiently combine task-specific teachers into a unified student, achieving state-of-the-art results on all evaluated benchmarks.