🔥 [ICLR 2026] Benchmark for robotic tabletop manipulation memory-intensive tasks
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Updated
Jun 30, 2026 - Python
🔥 [ICLR 2026] Benchmark for robotic tabletop manipulation memory-intensive tasks
Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics [PyTorch, SO-101 Robot Arm, ManiSkill3, Sim-to-Real]
[AAMAS 2026] Don’t Blind Your VLA: Aligning Visual Representations for OOD Generalization. https://blind-vla-paper.github.io
A minimal Vision-Language-Action model you can read: frozen CLIP + a tiny head on ManiSkill PickCube. Runs on a Mac, no GPU.
Minimum example showing how to setup Singularity with Maniskill3 to run training headless on a cluster.
Asset files for the Trossen Robotics WidowX AI robot for the ManiSkill framework
PPO reinforcement learning on the Unitree G1 humanoid — learning bipedal balance in MuJoCo and dexterous apple-in-bowl manipulation in ManiSkill 3, with side-by-side training-progression demos.
Reproducing PPO on ManiSkill's PushCube task, with reward shaping and curriculum learning experiments.
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