File size: 2,351 Bytes
358dd8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | import subprocess
def test_ddpg():
subprocess.run(
"python cleanrl/ddpg_continuous_action.py --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
subprocess.run(
"python cleanrl/ddpg_continuous_action_jax.py --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
def test_td3():
subprocess.run(
"python cleanrl/td3_continuous_action.py --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
subprocess.run(
"python cleanrl/td3_continuous_action_jax.py --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
def test_sac():
subprocess.run(
"python cleanrl/sac_continuous_action.py --env-id Hopper-v4 --batch-size 128 --total-timesteps 135",
shell=True,
check=True,
)
def test_ppo():
subprocess.run(
"python cleanrl/ppo_continuous_action.py --env-id Hopper-v4 --num-envs 1 --num-steps 64 --total-timesteps 128",
shell=True,
check=True,
)
subprocess.run(
"python cleanrl/ppo_continuous_action.py --env-id dm_control/cartpole-balance-v0 --num-envs 1 --num-steps 64 --total-timesteps 128",
shell=True,
check=True,
)
def test_rpo():
subprocess.run(
"python cleanrl/rpo_continuous_action.py --env-id Hopper-v4 --num-envs 1 --num-steps 64 --total-timesteps 128",
shell=True,
check=True,
)
subprocess.run(
"python cleanrl/rpo_continuous_action.py --env-id dm_control/cartpole-balance-v0 --num-envs 1 --num-steps 64 --total-timesteps 128",
shell=True,
check=True,
)
def test_mujoco_eval():
"""
Test mujoco_eval
"""
subprocess.run(
"python cleanrl/ddpg_continuous_action.py --save-model --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
subprocess.run(
"python cleanrl/ddpg_continuous_action_jax.py --save-model --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105",
shell=True,
check=True,
)
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