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# Reacher pixel-observation identifiability experiment
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# Works for both OU and trajectory data — just point --data_dir at the right place.
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#
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# Prerender:
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# python prerender.py eval
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# python prerender.py ou --rho 0.95
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# python prerender.py traj --delta 16 --h5_path data/reacher.h5
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#
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# Train:
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# python run_reacher.py --config configs/reacher.yaml \
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# --data_dir data/reacher/ou/rho=0.95
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experiment: reacher
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out: results/reacher
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data_root: data/reacher
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# Model
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d_latent: 2
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# Training
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epochs: 100
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batch_size: 256
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lr: 3.0e-3
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n_slices: 256
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n_eval_fast: 2000
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# Sweep dimensions
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lambs: [1.0e-3, 5.0e-3, 1.0e-2, 5.0e-2]
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seeds: [0, 1, 2]
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