…Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management (2026) DataMaster: Data-Centric Autonomous AI Research (2026) MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code…
…Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control (2026) VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis (2026) R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation (2026…
…No dataset linking this paper Cite arxiv.org/abs/2606.05979 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…fixed t; adversarial robustness controlled by varepsilon; backpropagation as the co-state equation of the Hamiltonian system for residual networks ( Pontryagin Maximum Principle ); scaling exponents consistent with data intrinsic dimension via PDE…
…No dataset linking this paper Cite arxiv.org/abs/2604.28139 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2604…
…No dataset linking this paper Cite arxiv.org/abs/2606.09821 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…View arXiv page View PDF Add to collection Community EverAnimate code, 480p LoRA checkpoints, minimal demo data, and training/inference scripts are now released: https://huggingface.co/epfl-vita/everanimate Resources: Code…
…Yucheng Zhou , Wei Tao , , Abstract Controlled concrete reasoning combines visual simulation with abstract reasoning through a training method that uses privileged future information to improve prediction accuracy and robustness. Generated by Qwen…
…presentation generation, front-end web design, poster generation, data visualization, and report generation. It further collects and organizes community-contributed skills for controlled comparison under unified task settings. Using more than 600…
…after the bridge and outperforms a matched replay control by 2.8 points. The operational principal is to avoid using scarce labeled data on the least prepared policy: use sparse reward for…
