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Tags: Reinforcement learning
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Whole-body motion tracking for the Unitree G1 in about 3 minutes on one GPU: return 0.82 with 0/40 clips failed at the first checkpoint for all seeds, >=10.9x faster than SuperMimic + EMA; 3.2 min with fine checkpoints, 2.74 min without LR annealing (world model + Muon + overlapped CUDA streams, mjlab)

Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).

  • deep-reinforcement-learning
  • generative-model
  • vae
  • molecule-generation