dynamics
dynamic_sliding_window_2_4_256_babylm_10m_epoch9uf850_0827_place_corn_in_bowl_dynamics_50hz_gran10_fixall_ema_10k_bs16x1uf850_0827_place_corn_in_bowl_dynamics_50hz_vanilla_chunk50_bs16x1_10kcosmos3-nano-droid-forward-dynamicsuf850_0827_place_corn_in_bowl_dynamics_25hz_gran10_fixall_ema_10k_bs16x1uf850_0827_place_corn_in_bowl_dynamics_50hz_gran10_fixall_ema_10k_bs8x1pinkpeach_-_llama3-8b-cosmic-fusion-dynamics-merged_16bit-vllm-ggufdynamic_sliding_window_4_6_384_babylm_10m_inverse_epoch6
Datasets
All datasets matching “dynamics”dojo_market_dynamicsHydroGym-environmentsmeta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics
Resonance Resonance / IRS-DCE
MASTER README (FULL EXTENDED VERSION)
If you need the other data or pdf check on [https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf]
[2026-09-22 Update]
MASK_BDP BBRCM: 조건부 운용의 통합 구조
배경·경계·분기·관측·계량을 분해하고 다시 조립하면서, 무엇이 보존되고 어떤 조건에서 결과가 달라지는지 정리한 연구입니다. 상보성 쌍과 제타/RH 관련 변환뿐 아니라 BBRCM 자체에도 같은 변형·스트레스 테스트를 적용했습니다.
주요 성과는 다음과 같습니다.
R32: 원래 함수공간과 정확한 직교사영 조건 아래에서 첫 셀의 잔차를 전체 극한 잔차와… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/meta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics.KoopmanRL
Dataset Card for KoopmanRL
Dataset Summary
This dataset contains the collected experimental data used for the results of Koopman-Assisted Reinforcement Learning allowing for the full reproduction, and further use of the paper's results. To reproduce the results by running the experiments yourself, please see the source code of KoopmanRL.
Dataset Structure
The dataset of the reinforcement learning experiments for KoopmanRL contains roughly 461MB of Tensorboard… See the full description on the dataset page: https://huggingface.co/datasets/dynamicslab/KoopmanRL.STUZero-Atari-Dynamics
STUZero Atari Dynamics Dataset
Offline dynamics training datasets collected from trained EfficientZero V2 (EZv2) benchmark models on Atari games. Each game's data is stored in a subfolder named {game}_{steps} indicating the game and the number of training steps of the source checkpoint. While all models were trained for 120K steps, best results in some games were attained at earlier checkpoints. The model with best eval scores was used to curate data for each game.… See the full description on the dataset page: https://huggingface.co/datasets/Shivamkak/STUZero-Atari-Dynamics.vibepi-060526-dynamicsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/vibepi-060526-dynamics.