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rlt

RLinf /rlt-maniskill-PegInsertionSide-v1-400-succ RLT ManiSkill Joint Dataset Summary rlt_maniskill_joint is a LeRobot-style dataset for joint-control Robot Learning Token (RLT) training on the ManiSkill peg insertion task. It is designed for the RLinf + OpenPI pi05_rlt_joint pipeline and is used in three stages: OpenPI supervised fine-tuning (SFT) base policy training RLT Stage 1 RL-token training RLT Stage 2 online RL initialization and normalization The dataset corresponds to the ManiSkill task:… See the full description on the dataset page: https://huggingface.co/datasets/RLinf/rlt-maniskill-PegInsertionSide-v1-400-succ.image10K<n<100K0 likes1.8k downloads3mo agoHugging Facejellyho /yam_lego_taxi_s200_rlt_annottabularn<1K0 likes220 downloads1mo agoHugging Facehyunseoki /rltr-data0 likes169 downloads2mo agoHugging Facewkal /smolvla-rlt SmolVLA-RLT: PegInsertionSide-v1 (three cameras) Successful motion-planning demonstrations replayed from saved ManiSkill states. Every 20 FPS observation provides 512×512 RGB from environment_camera, hand_camera, and insertion_camera. The insertion camera is mounted in the peg frame with its reference at the red insertion end. Actions are 8D absolute pd_joint_pos commands; observation.state is 9D Panda qpos. Exact source and camera-config hashes are in render_manifest.json. video1K<n<10K0 likes117 downloads23d agoHugging Facerl-tools /contashasum crazyflie-scale.glb 4be1c223bb268e35163f98daa675a60a6b2876c2 crazyflie-scale.glb mv crazyflie-scale.glb 4be1c223bb268e35163f98daa675a60a6b2876c2 const res = await fetch("https://huggingface.co/datasets/rl-tools/conta-data/resolve/main/<sha>"); textn<1K0 likes107 downloads21d agoHugging FaceChikaYokoyama /rlt-realworld-ee-peginsertion-100-succimage10K<n<100K0 likes64 downloads3mo agoHugging Face