A toolkit for reproducible reinforcement learning research.
- rl-algorithms
- reproducibility
- pytorch
- tensorflow
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A toolkit for reproducible reinforcement learning research.
Scalable, event-driven, deep-learning-friendly backtesting library
Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)