wait;

EXPNAME="mala_1" CUDA_VISIBLE_DEVICES=0, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 0 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --L 10 --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="mala_1" CUDA_VISIBLE_DEVICES=0, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 1 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --L 10 --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="mala_1" CUDA_VISIBLE_DEVICES=0, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 2 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --L 10 --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="mala_1" CUDA_VISIBLE_DEVICES=0, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 3 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --L 10 --moving_obstacles --repair --predict --savename drone_dynamic &

EXPNAME="rmh" CUDA_VISIBLE_DEVICES=1, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 0 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --disable_gradients --L 10 --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="rmh" CUDA_VISIBLE_DEVICES=1, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 1 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --disable_gradients --L 10 --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="rmh" CUDA_VISIBLE_DEVICES=1, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 2 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --disable_gradients --L 10 --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="rmh" CUDA_VISIBLE_DEVICES=1, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 3 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --disable_gradients --L 10 --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &

EXPNAME="l2c" CUDA_VISIBLE_DEVICES=2, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 0 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --reinforce --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="l2c" CUDA_VISIBLE_DEVICES=2, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 1 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --reinforce --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="l2c" CUDA_VISIBLE_DEVICES=2, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 2 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --reinforce --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="l2c" CUDA_VISIBLE_DEVICES=2, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 3 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --reinforce --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &

EXPNAME="gd"  CUDA_VISIBLE_DEVICES=3, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 0 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --disable_stochasticity --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="gd"  CUDA_VISIBLE_DEVICES=3, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 1 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --disable_stochasticity --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="gd"  CUDA_VISIBLE_DEVICES=3, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 2 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --disable_stochasticity --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
EXPNAME="gd"  CUDA_VISIBLE_DEVICES=3, XLA_PYTHON_CLIENT_MEM_FRACTION=0.1 python architect/experiments/drone_landing/predict_and_mitigate.py --model_path results/submission/drone/initial_policy.eqx --seed 3 --num_rounds 10 --num_steps_per_round 10 --num_chains 5 --T 70 --num_trees 5 --ep_mcmc_step_size 1e-2 --dp_mcmc_step_size 1e-5 --grad_clip 1 --disable_stochasticity --no-temper --moving_obstacles --repair --predict --savename drone_dynamic &
