python ppo_props_continuous.py --env-id Hopper-v4 -f results_rl -s priv/b_1 --total-timesteps 1000000 --eval-freq 10 -lr 0.001 --num-steps 2048 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
python ppo_props_continuous.py --env-id Walker2d-v4 -f results_rl -s priv/b_1 --total-timesteps 2000000 --eval-freq 10 -lr 0.001 --num-steps 4096 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
python ppo_props_continuous.py --env-id HalfCheetah-v4 -f results_rl -s priv/b_1 --total-timesteps 2000000 --eval-freq 10 -lr 0.0001 --num-steps 1024 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
python ppo_props_continuous.py --env-id Swimmer-v4 -f results_rl -s priv/b_1 --total-timesteps 1000000 --eval-freq 10 -lr 0.001 --num-steps 4096 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
python ppo_props_continuous.py --env-id Ant-v4 -f results_rl -s priv/b_1 --total-timesteps 4000000 --eval-freq 10 -lr 0.0001 --num-steps 1024 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
python ppo_props_continuous.py --env-id Humanoid-v4 -f results_rl -s priv/b_1 --total-timesteps 6000000 --eval-freq 10 -lr 0.0001 --num-steps 8192 -b 1 --props 0  --se 0 --se-lr 1e-3 --se-epochs 1000  --target-kl 0.03
