… We formalize rollout pipelines with unified notation and introduce Generate-Filter-Control-Replay GFCR , a lifecycle taxonomy that decomposes rollout pipelines into four modular stages: Generate proposes candidate trajectories and topologies; Filter constructs intermediate signals via verifiers , j… …
… We show that practical asynchronous pipelines with delayed updates and partial rollouts often lose the required historical training-side logits, or old logits. …
… At the Inter-Reliability level, Stream-R1 rescales each rollout 's loss by an exponential of a pretrained video reward score , so that rollout s with reliable supervision dominate optimization. …
… Because POISE estimates prompt value using only a single rollout, it enables higher prompt diversity for a fixed compute budget during training. …
… The following papers were recommended by the Semantic Scholar API IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning 2026 Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers 2026 TIPS: Turn-Level Information-Potential Reward Shaping f… …
… AI-generated summary A plausible scene evolution depends on the maneuver being considered, while a good maneuver depends on how the scene may evolve. …
… We then develop a scalable targeted-rollout algorithm to estimate this gradient efficiently, even for long chains of intermediate thoughts. …
… The following papers were recommended by the Semantic Scholar API PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners 2026 Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR 2026 On-Policy Distillation with Best-of-N Teac… …
… We then close the loop with the model itself: an online process-reward co-learning loop , in which an open-source agent's rollouts through the refining harness are relabeled by a frontier teacher and used to update the model, drives sustained in-game milestone progress on Pokemon Red without resett… …
… Community version @ Github➡️ https://github.com/verl-project/verl-mint/ the part i keep circling back to is the packed MoE LoRA tensors and the claim of 8.5–8.7x faster live loading when adapters are laid out in a serving-friendly, compact layout. this small, dense peft design, together with a mult… …
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