Team Ai
9 results

Agentic Learning

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Models

All models matching “Agentic Learning”
agentic-learning-ai-lab /jepa-cpp-umaze-parity0 likes476 downloads6d agoHugging Faceagentic-learning-ai-lab /Midway-Network1 likes9mo agoHugging Face

Datasets

All datasets matching “Agentic Learning”
n1ghtf4l1 /Agentic-Diagnostic-Reasoning-with-Multimodal-SLMs-via-Reinforcement-Learning15 likes175 downloads11mo agoHugging Faceagentic-learning-ai-lab /daily-oracle Daily Oracle 📰 Project Website📝 Paper - Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle Daily Oracle is a continuous evaluation benchmark using automatically generated QA pairs from daily news to assess how the future prediction capabilities of LLMs evolve over time. Dataset Details Question Type: True/False (TF) & Multiple Choice (MC) Current Version* Time Span: 2020.01.01 - 2026.07.18 Size: 20,376 TF questions and 18,557 MC… See the full description on the dataset page: https://huggingface.co/datasets/agentic-learning-ai-lab/daily-oracle.textquestion-answering10K<n<100K4 likes130 downloads3mo agoHugging Faceagentic-learning-ai-lab /Walking-Tours-Semantic Walking Tours Semantic Walking Tours Semantic (WT-Sem), introduced in PooDLe, provides semantic segmentation masks for videos in the Walking Tours dataset, as well as three additional videos for validation. Frames are sampled every 2 seconds from each video and a top-of-the-line semantic segmentation model, OpenSeed, is used to generate the masks. Specifically, the Swin-L variant of OpenSeed, pretrained on COCO and Objects365 and finetuned on ADE20K, is used. The 3 new walkaround… See the full description on the dataset page: https://huggingface.co/datasets/agentic-learning-ai-lab/Walking-Tours-Semantic.imageimage-segmentationn<1K2 likes89 downloads1y agoHugging Faceagentic-learning-ai-lab /point_maze_medium PointMaze Medium The PointMaze-Medium dataset from Temporal Straightening for Latent Planning (Wang et al., 2026). It has 4,000 trajectories of 100 steps in the D4RL maze2d-medium-v0 maze, rendered at 224×224. It extends the umaze set in DINO-WM and uses the same file layout. Layout point_maze_medium/ ├── obses/episode_000.pth … episode_3999.pth # uint8 [100, 224, 224, 3] per episode ├── states.pth # float64 [4000, 100, 4]: x, y, vx, vy ├── actions.pth… See the full description on the dataset page: https://huggingface.co/datasets/agentic-learning-ai-lab/point_maze_medium.videoroboticsn<1K1 likes77 downloads3d agoHugging FaceICML-2026-agent-repro /repro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systems-traces Agent traces Agent sessions published from a Trackio Logbook. tabularn<1K0 likes72 downloads2mo agoHugging Face

Apps

All apps matching “Agentic Learning”
11ana /agentic-self-learningdocker0 likes4mo agoHugging FaceICML-2026-agent-repro /repro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systemsstatic0 likes2mo agoHugging Face