Skill-Space Shooting for Autonomous Robot Policy Improvement
Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new sit...
每天自动聚合 AI 领域最新动态
Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new sit...
Macroeconomic productivity metrics, such as Total Factor Productivity, register technological breakthroughs with mult...
General-purpose agents can plan, reason, and act over long horizons, yet their production capabilities remain fragmen...
Answering questions and completing tasks over large document collections often requires connecting evidence spread ac...
On-policy distillation (OPD) is a widely adopted post-training technique for LLM reasoning. It is commonly believed t...
Emotion-conditioned text-to-speech (TTS) models may fail to express the requested emotion reliably, and improving con...
Long-term memory enables agents to accumulate information and reason across sessions, yet existing research primarily...
Vision-language-action (VLA) models perform well on shorter-horizon manipulation tasks but still struggle with long-h...
Mixture-of-Experts (MoE), popularized by large language models, is a promising paradigm for scaling visual generative...
High-resolution video generation is expensive, as its cost grows rapidly with the number of spatiotemporal tokens. A ...
The appearance of Jev marked the era of System One Models, foundation models that return structured decisions with pr...
Despite recent progress in agentic multi-shot video generation, producing coherent and consistent long-form stories r...