mini_cheetah_dha_eivals.sh

exp_name="eivals_dha"
shared_params="exp_name=${exp_name} system.terrain=uneven_easy system.max_epochs=500 model.obs_pred_w=1.0 model.num_hidden_units=256 model.activation=ReLU model.batch_size=512"
hydra_params="hydra.launcher.n_jobs=4"

#python train_observables.py --multirun  model=dae-aug exp_name=performance hydra.launcher.n_jobs=2 device=1 seed=0,1

python train_observables.py --multirun device=0 system=mini_cheetah model=dae       seed=0,1 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=1 system=mini_cheetah model=dae       seed=2,3 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=2 system=mini_cheetah model=dae-aug   seed=0,1 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=3 system=mini_cheetah model=dae-aug   seed=2,3 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=4 system=mini_cheetah model=edae      seed=0,1 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=5 system=mini_cheetah model=edae      seed=2,3 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=6 system=mini_cheetah-k4 model=edae   seed=0,1 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
python train_observables.py --multirun device=7 system=mini_cheetah-k4 model=edae   seed=2,3 system.obs_state_ratio=3 ${hydra_params} ${shared_params} &
wait