# Reacher pixel-observation identifiability experiment
# Works for both OU and trajectory data — just point --data_dir at the right place.
#
# Prerender:
#   python prerender.py eval
#   python prerender.py ou --rho 0.95
#   python prerender.py traj --delta 16 --h5_path data/reacher.h5
#
# Train:
#   python run_reacher.py --config configs/reacher.yaml \
#       --data_dir data/reacher/ou/rho=0.95

experiment: reacher
out: results/reacher
data_root: data/reacher

# Model
d_latent: 2

# Training
epochs: 100
batch_size: 256
lr: 3.0e-3
n_slices: 256
n_eval_fast: 2000

# Sweep dimensions
lambs: [1.0e-3, 5.0e-3, 1.0e-2, 5.0e-2]
seeds: [0, 1, 2]