…First, we construct a cold-start dataset using an answer-aware Tutor and answer-blind Planner to generate verified, causally grounded search trajectories. Second, we refine the initialized policy with Group Relative…
…I've been studying SmolLM3's dual-mode training approach and have a technical question about the choice of Anchored Preference Optimization (APO) over Group Relative Policy Optimization (GRPO) for handling reasoning…
…Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning (2026) Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills (2026) From Failed Trajectories to Reliable LLM Agents…
…Within the evaluated detector families, placement policies, and calibration coverage, YOLO-PEFT replaces manual target-module trial and error with explicit, inspectable planning while preserving verified train-save-merge-export paths; refusal…
…Would you like to contribute and add openrlhf to the mix? If so, you can press the "Update on GitHub" button right at the top! What stands out: all 16 libraries converged…
…policies across 25+ economic tasks. We would be very interested in how you would position EconGym within the six-level taxonomy, and hope you might consider including it in a future update…
…A closed-loop `` Read--Write--Assess--Govern " lifecycle further supports continual evolution by writing new skills, updating utilities, promoting useful memories, and removing harmful entries. Experiments across diverse clinical tasks show that…
…1) preserve logical dependencies among workflows and tool protocols, 2) enable lightweight, offline compression for frequently updated community skills, and 3) be adaptable to varying complexities across skills. To address this, we…
…The diffusion model then executes the selected visual action, and the updated canvas is fed back into the next reasoning step. Instead of generating an image once, a VLM continuously inspects the…
…To handle data staleness introduced by asynchrony, FlashEvolve tracks artifact versions and applies different policies to update, discard, or patch stale artifacts. Unlike weight-space staleness in asynchronous RL, language-space staleness…