… The following papers were recommended by the Semantic Scholar API PRAISE: Prefix-Based Rollout Reuse in Agentic Search Training 2026 Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model 2026 Accelerating RL Post-Training Rollouts via System-Integ… …
… AI-generated summary RL post-training of frontier language models is increasingly bottlenecked by autoregressive rollout generation , making rollout acceleration a central systems challenge. …
… Stream-R1 instead reweights the DMD objective along two complementary axes, i.e., Inter-Reliability across rollouts and Intra-Perplexity across spatiotemporal regions, both with a single shared video reward model. …
… We propose three exact old-logit acquisition strategies: snapshot-based version tracking, a dedicated old-logit model, and synchronization via partial rollout interruption, and compare their system trade-offs. …
… AI-generated summary Reinforcement learning with verifiable rewards RLVR for Large Reasoning Models hinges on baseline estimation for variance reduction , but existing approaches pay a heavy price: PPO requires a policy-model scale critic , while GRPO needs multiple rollouts per prompt to keep its … …
… Get this paper in your agent: hf papers read 2605.09262 Don't have the latest CLI? curl -LsSf https://hf.co/cli/install.sh | bash No model linking this paper Cite arxiv.org/abs/2605.09262 in a model README.md to link it from this page. …
… We then train a family of capable Claw-style models, termed ClawGym-Agents , through supervised fine-tuning on black-box rollout trajectories , and further explore reinforcement learning via a lightweight pipeline that parallelizes rollouts across per-task sandboxes .To support reliable evaluation,… …
… GE-Sim 2.0 tops the public WorldArena leaderboard at only 2B parameters, outperforming both dedicated robotic world models and closed-source general video generators, and policies trained against its rollouts and rewards translate into measurable real-world gains, establishing GE-Sim 2.0 as a pract… …
… We jointly train both levels with a hierarchical GRPO-style rollout, enhanced by diverse strategy sampling and critical self-judgment. Does it work? StraTA improves both sample efficiency and final performance, outperforming both frontier closed-source models and prior RL baselines. …
… Could you share learning curves or metrics for the 120B model? The article mentions both vLLM and SGLang. Which engine is used for rollouts in the final experiments? …