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# export WANDB_ENTITY=openrlbenchmark

uv pip install .
OMP_NUM_THREADS=1 xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids CartPole-v1 Acrobot-v1 MountainCar-v0 \
    --command "uv run python cleanrl/ppo.py --no_cuda --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[atari]"
OMP_NUM_THREADS=1 xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids PongNoFrameskip-v4 BeamRiderNoFrameskip-v4 BreakoutNoFrameskip-v4 \
    --command "uv run python cleanrl/ppo_atari.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[mujoco]"
OMP_NUM_THREADS=1 xvfb-run -a python -m cleanrl_utils.benchmark \
    --env-ids HalfCheetah-v4 Walker2d-v4 Hopper-v4 InvertedPendulum-v4 Humanoid-v4 Pusher-v4 \
    --command "uv run python cleanrl/ppo_continuous_action.py --no_cuda --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[mujoco, dm_control]"
OMP_NUM_THREADS=1 xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids dm_control/acrobot-swingup-v0 dm_control/acrobot-swingup_sparse-v0 dm_control/ball_in_cup-catch-v0 dm_control/cartpole-balance-v0 dm_control/cartpole-balance_sparse-v0 dm_control/cartpole-swingup-v0 dm_control/cartpole-swingup_sparse-v0 dm_control/cartpole-two_poles-v0 dm_control/cartpole-three_poles-v0 dm_control/cheetah-run-v0 dm_control/dog-stand-v0 dm_control/dog-walk-v0 dm_control/dog-trot-v0 dm_control/dog-run-v0 dm_control/dog-fetch-v0 dm_control/finger-spin-v0 dm_control/finger-turn_easy-v0 dm_control/finger-turn_hard-v0 dm_control/fish-upright-v0 dm_control/fish-swim-v0 dm_control/hopper-stand-v0 dm_control/hopper-hop-v0 dm_control/humanoid-stand-v0 dm_control/humanoid-walk-v0 dm_control/humanoid-run-v0 dm_control/humanoid-run_pure_state-v0 dm_control/humanoid_CMU-stand-v0 dm_control/humanoid_CMU-run-v0 dm_control/lqr-lqr_2_1-v0 dm_control/lqr-lqr_6_2-v0 dm_control/manipulator-bring_ball-v0 dm_control/manipulator-bring_peg-v0 dm_control/manipulator-insert_ball-v0 dm_control/manipulator-insert_peg-v0 dm_control/pendulum-swingup-v0 dm_control/point_mass-easy-v0 dm_control/point_mass-hard-v0 dm_control/quadruped-walk-v0 dm_control/quadruped-run-v0 dm_control/quadruped-escape-v0 dm_control/quadruped-fetch-v0 dm_control/reacher-easy-v0 dm_control/reacher-hard-v0 dm_control/stacker-stack_2-v0 dm_control/stacker-stack_4-v0 dm_control/swimmer-swimmer6-v0 dm_control/swimmer-swimmer15-v0 dm_control/walker-stand-v0 dm_control/walker-walk-v0 dm_control/walker-run-v0 \
    --command "uv run python cleanrl/ppo_continuous_action.py --exp-name ppo_continuous_action_8M  --total-timesteps 8000000 --no_cuda --track" \
    --num-seeds 10 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[atari]"
OMP_NUM_THREADS=1 xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids PongNoFrameskip-v4 BeamRiderNoFrameskip-v4 BreakoutNoFrameskip-v4 \
    --command "uv run python cleanrl/ppo_atari_lstm.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[envpool]"
uv run python -m cleanrl_utils.benchmark \
    --env-ids Pong-v5 BeamRider-v5 Breakout-v5 \
    --command "uv run python cleanrl/ppo_atari_envpool.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[envpool, jax]"
uv run python -m cleanrl_utils.benchmark \
    --env-ids Alien-v5 Amidar-v5 Assault-v5 Asterix-v5 Asteroids-v5 Atlantis-v5 BankHeist-v5 BattleZone-v5 BeamRider-v5 Berzerk-v5 Bowling-v5 Boxing-v5 Breakout-v5 Centipede-v5 ChopperCommand-v5 CrazyClimber-v5 Defender-v5 DemonAttack-v5 DoubleDunk-v5 Enduro-v5 FishingDerby-v5 Freeway-v5 Frostbite-v5 Gopher-v5 Gravitar-v5 Hero-v5 IceHockey-v5 Jamesbond-v5 Kangaroo-v5 Krull-v5 KungFuMaster-v5 MontezumaRevenge-v5 MsPacman-v5 NameThisGame-v5 Phoenix-v5 Pitfall-v5 Pong-v5 PrivateEye-v5 Qbert-v5 Riverraid-v5 RoadRunner-v5 Robotank-v5 Seaquest-v5 Skiing-v5 Solaris-v5 SpaceInvaders-v5 StarGunner-v5 Surround-v5 Tennis-v5 TimePilot-v5 Tutankham-v5 UpNDown-v5 Venture-v5 VideoPinball-v5 WizardOfWor-v5 YarsRevenge-v5 Zaxxon-v5 \
    --command "uv run python ppo_atari_envpool_xla_jax.py --track --wandb-project-name envpool-atari --wandb-entity openrlbenchmark" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[envpool, jax]"
python -m cleanrl_utils.benchmark \
    --env-ids Pong-v5 BeamRider-v5 Breakout-v5 \
    --command "uv run python cleanrl/ppo_atari_envpool_xla_jax_scan.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[procgen]"
uv run python -m cleanrl_utils.benchmark \
    --env-ids starpilot bossfight bigfish \
    --command "uv run python cleanrl/ppo_procgen.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[atari]"
xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids PongNoFrameskip-v4 BeamRiderNoFrameskip-v4 BreakoutNoFrameskip-v4 \
    --command "uv run torchrun --standalone --nnodes=1 --nproc_per_node=2 cleanrl/ppo_atari_multigpu.py --local-num-envs 4 --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

uv pip install ".[pettingzoo, atari]"
uv run AutoROM --accept-license
xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids pong_v3 surround_v2 tennis_v3  \
    --command "uv run python cleanrl/ppo_pettingzoo_ma_atari.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template

# IMPORTANT: see specific Isaac Gym installation at
# https://docs.cleanrl.dev/rl-algorithms/ppo/#usage_8
poetry install --with isaacgym
xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids Cartpole Ant Humanoid BallBalance Anymal  \
    --command "uv run python cleanrl/ppo_continuous_action_isaacgym/ppo_continuous_action_isaacgym.py --track --capture_video" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template
xvfb-run -a uv run python -m cleanrl_utils.benchmark \
    --env-ids AllegroHand ShadowHand \
    --command "uv run python cleanrl/ppo_continuous_action_isaacgym/ppo_continuous_action_isaacgym.py --track --capture_video --num-envs 8192 --num-steps 8 --update-epochs 5 --num-minibatches 4 --reward-scaler 0.01 --total-timesteps 600000000 --record-video-step-frequency 3660" \
    --num-seeds 3 \
    --workers 9 \
    --slurm-gpus-per-task 1 \
    --slurm-ntasks 1 \
    --slurm-total-cpus 10 \
    --slurm-template-path benchmark/cleanrl_1gpu.slurm_template