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Copy pathsmoothworld_bench.sh
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56 lines (48 loc) · 3.65 KB
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for i in {1..3}; do
SEED=$RANDOM
python smoothworld/main.py --method mepoly --poly_order=5 --ent_coef=0.10 --lambda_clip=5 --max_iterations=500 --poly_grid_size=64 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=two_walls
SEED=$RANDOM
python smoothworld/main.py --method mepoly --poly_order=5 --ent_coef=0.10 --lambda_clip=5 --max_iterations=2000 --poly_grid_size=64 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=four_walls
SEED=$RANDOM
python smoothworld/main.py --method mepoly --poly_order=5 --ent_coef=0.05 --lambda_clip=5 --max_iterations=6000 --poly_grid_size=64 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=cshape
SEED=$RANDOM
python smoothworld/main.py --method mepoly --poly_order=5 --ent_coef=0.05 --lambda_clip=5 --max_iterations=4000 --poly_grid_size=64 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=tree_in_the_middle
SEED=$RANDOM
python smoothworld/main.py --method mepoly --poly_order=5 --ent_coef=0.10 --lambda_clip=5 --max_iterations=4000 --poly_grid_size=64 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=two_slits
done
for i in {1..3}; do
SEED=$RANDOM
python smoothworld/main.py --method fpo --num_fpo_samples=50 --max_iterations=500 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=two_walls
SEED=$RANDOM
python smoothworld/main.py --method fpo --num_fpo_samples=50 --max_iterations=2000 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=four_walls
SEED=$RANDOM
python smoothworld/main.py --method fpo --num_fpo_samples=50 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=two_slits
SEED=$RANDOM
python smoothworld/main.py --method fpo --num_fpo_samples=50 --max_iterations=6000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=cshape
SEED=$RANDOM
python smoothworld/main.py --method fpo --num_fpo_samples=50 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=tree_in_the_middle
done
for i in {1..3}; do
SEED=$RANDOM
python smoothworld/main.py --method gmm --ent_coef=0.0010 --max_iterations=500 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=two_walls
SEED=$RANDOM
python smoothworld/main.py --method gmm --ent_coef=0.0010 --max_iterations=2000 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=four_walls
SEED=$RANDOM
python smoothworld/main.py --method gmm --ent_coef=0.0010 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=two_slits
SEED=$RANDOM
python smoothworld/main.py --method gmm --ent_coef=0.0005 --max_iterations=6000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=cshape
SEED=$RANDOM
python smoothworld/main.py --method gmm --ent_coef=0.0005 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=tree_in_the_middle
done
for i in {1..3}; do
SEED=$RANDOM
python smoothworld/main.py --method ppo --ent_coef=0.0010 --max_iterations=500 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=two_walls
SEED=$RANDOM
python smoothworld/main.py --method ppo --ent_coef=0.0010 --max_iterations=2000 --n_updates_per_iteration=10 --seed=${SEED} --grid_mode=four_walls
SEED=$RANDOM
python smoothworld/main.py --method ppo --ent_coef=0.0010 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=two_slits
SEED=$RANDOM
python smoothworld/main.py --method ppo --ent_coef=0.0005 --max_iterations=6000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=cshape
SEED=$RANDOM
python smoothworld/main.py --method ppo --ent_coef=0.0005 --max_iterations=4000 --n_updates_per_iteration=1 --seed=${SEED} --grid_mode=tree_in_the_middle
done