… We organize existing methods into a structured taxonomy of Cascaded and Joint WAMs, with further subdivision by generation modality, conditioning mechanism, and action decoding strategy. …
… Our method introduces a fine-grained reward function via variational inference that explicitly evaluates exploratory actions by estimating their potential to improve future decision-making, together with an exploration-aware grouping mechanism that separates exploratory actions from task-completion… …
… Third, a Current-to-Future Link is designed to bridge the temporal gap, conditioning geometric evolution on semantic context. …
… The following papers were recommended by the Semantic Scholar API MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models 2026 EP-GRPO: Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance 2026 PAPO: Stabilizing Rubric Integration Training via… …
… By consolidating this rapidly expanding field into a coherent framework, this survey aims to serve as a foundational reference for future research on large-scale AVI. …
… The modality of the future, no doubt. …
… But, I tried and have not gotten it to run. how to see future Cursor is able to set this up nicely and expand on it ; just ensure you add the smolagents docs and direct it to the specific open deep research docs within the git repo under src. · fale mais meu amigo.... …
… The reasoning process MUST BE enclosed within and tags." GRPO trainer config bf16: true use vllm: true vllm mode: colocate vllm tensor parallel size: 8 vllm gpu memory utilization: 0.5 vllm enable prefix caching: false vllm max model len: 4096 do eval: false gradient accumulation steps: 1 gradient … …