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leo_nav2d.yaml
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leo_nav2d.yaml
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dataio:
dataset_type: nav2d
srcdir_dataset: /local/datasets/sim
dataset_name: nav2dtime/dataset_0000 # nav2dfix, nav2dtime
model_type: varying_cov # fixed_cov (for nav2dfix), varying_cov (for nav2dtime)
options:
seed: 0
theta_init:
noisy: False
sigma_noise: 5
sigma_inv_odom_vals: [1., 1., 1.]
sigma_inv_gps_vals: [1., 1., 1.]
# sigma_sq format
sigma_inv_odom0_vals: [0.25, 0.25, 0.25]
sigma_inv_gps0_vals: [1e-2, 1e-2, 0.25]
sigma_inv_odom1_vals: [1., 1., 1.]
sigma_inv_gps1_vals: [1e-2, 1e-2, 1e-2]
optim:
nsteps: 300 # 500
verbose: False
save_fig: True
show_fig: False
vis_step: False
leo:
max_iters: 100
n_data_train: 5 # 30
n_data_test: 1 # 20
test_idx_offset: 30
lr: 1e-1
lmd: 0.
l2_wt: 1e-3
pool_processes: 4
lr_scheduler: True
realizability_coeff: 0. # 0: ground truth, 1: fully realizable
sampler: True
n_samples: 10
temp: 1. # high temp -> low cov
tb_flag: False
save_video: False
use_traj_convergence: True
eps_diff_traj_err_trans: 5e-2
eps_diff_traj_err_rot: 5e-2
eps_traj_err_trans: 1e-1
eps_traj_err_rot: 1e-1
logger:
enable: False
save_csv: False
plot:
colors:
gt: dimgray
opt: tab:purple
labels:
gt: groundtruth
odom: odom
gps: gps
opt: optimizer
exp: expert
dstdir: /local/plots/sim
baselines:
method: Nelder-Mead # Nelder-Mead, BFGS, CMAES
max_fval_calls: 100