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python -m openrlbenchmark.rlops \
--filters '?we=rogercreus&wpn=cleanRL&ceik=env_id&cen=exp_name&metric=charts/episodic_return' \
'pqn?tag=pr-494&cl=CleanRL PQN' \
--env-ids CartPole-v1 Acrobot-v1 MountainCar-v0 \
--no-check-empty-runs \
--pc.ncols 3 \
--pc.ncols-legend 2 \
--output-filename benchmark/cleanrl/pqn \
--scan-history
python -m openrlbenchmark.rlops \
--filters '?we=rogercreus&wpn=cleanRL&ceik=env_id&cen=exp_name&metric=charts/episodic_return' \
'pqn_atari_envpool?tag=pr-494&cl=CleanRL PQN' \
--env-ids Breakout-v5 SpaceInvaders-v5 BeamRider-v5 Pong-v5 MsPacman-v5 \
--no-check-empty-runs \
--pc.ncols 3 \
--pc.ncols-legend 3 \
--rliable \
--rc.score_normalization_method maxmin \
--rc.normalized_score_threshold 1.0 \
--rc.sample_efficiency_plots \
--rc.sample_efficiency_and_walltime_efficiency_method Median \
--rc.performance_profile_plots \
--rc.aggregate_metrics_plots \
--rc.sample_efficiency_num_bootstrap_reps 10 \
--rc.performance_profile_num_bootstrap_reps 10 \
--rc.interval_estimates_num_bootstrap_reps 10 \
--output-filename static/0compare \
--scan-history
python -m openrlbenchmark.rlops \
--filters '?we=rogercreus&wpn=cleanRL&ceik=env_id&cen=exp_name&metric=charts/episodic_return' \
'pqn_atari_envpool_lstm?tag=pr-494&cl=CleanRL PQN' \
--env-ids Breakout-v5 SpaceInvaders-v5 BeamRider-v5 Pong-v5 MsPacman-v5 \
--no-check-empty-runs \
--pc.ncols 3 \
--pc.ncols-legend 3 \
--rliable \
--rc.score_normalization_method maxmin \
--rc.normalized_score_threshold 1.0 \
--rc.sample_efficiency_plots \
--rc.sample_efficiency_and_walltime_efficiency_method Median \
--rc.performance_profile_plots \
--rc.aggregate_metrics_plots \
--rc.sample_efficiency_num_bootstrap_reps 10 \
--rc.performance_profile_num_bootstrap_reps 10 \
--rc.interval_estimates_num_bootstrap_reps 10 \
--output-filename static/0compare \
--scan-history
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