VPG playing CarRacing-v0 from https://github.com/sgoodfriend/rl-algo-impls/tree/2067e21d62fff5db60168687e7d9e89019a8bfc0
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while test $# != 0 | |
do | |
case "$1" in | |
-a) algos=$2 ;; | |
-j) n_jobs=$2 ;; | |
-p) project_name=$2 ;; | |
-s) seeds=$2 ;; | |
-e) envs=$2 ;; | |
--procgen) procgen=t | |
esac | |
shift | |
done | |
algos="${algos:-ppo}" | |
n_jobs="${n_jobs:-6}" | |
project_name="${project_name:-rl-algo-impls-benchmarks}" | |
seeds="${seeds:-1 2 3}" | |
DISCRETE_ENVS=( | |
# Basic | |
"CartPole-v1" | |
"MountainCar-v0" | |
"Acrobot-v1" | |
"LunarLander-v2" | |
# Atari | |
"PongNoFrameskip-v4" | |
"BreakoutNoFrameskip-v4" | |
"SpaceInvadersNoFrameskip-v4" | |
"QbertNoFrameskip-v4" | |
) | |
BOX_ENVS=( | |
# Basic | |
"MountainCarContinuous-v0" | |
"BipedalWalker-v3" | |
# PyBullet | |
"HalfCheetahBulletEnv-v0" | |
"AntBulletEnv-v0" | |
"HopperBulletEnv-v0" | |
"Walker2DBulletEnv-v0" | |
# CarRacing | |
"CarRacing-v0" | |
) | |
for algo in $(echo $algos); do | |
if [ "$algo" = "dqn" ]; then | |
BENCHMARK_ENVS="${DISCRETE_ENVS[*]}" | |
else | |
BENCHMARK_ENVS="${DISCRETE_ENVS[*]} ${BOX_ENVS[*]}" | |
fi | |
algo_envs=$envs | |
if [ -z $algo_envs ]; then | |
echo "-e unspecified; therefore, benchmark training on ${BENCHMARK_ENVS[*]}" | |
algo_envs=${BENCHMARK_ENVS[*]} | |
fi | |
PROCGEN_ENVS=( | |
"procgen-coinrun-easy" | |
"procgen-starpilot-easy" | |
"procgen-bossfight-easy" | |
"procgen-bigfish-easy" | |
) | |
if [ "$procgen" = "t" ]; then | |
algo_envs=${PROCGEN_ENVS[*]} | |
fi | |
bash scripts/train_loop.sh -a $algo -e "$algo_envs" -p $project_name -s "$seeds" | xargs -I CMD -P $n_jobs bash -c CMD | |
done |