Datasets:

autorl-org
/

arlbench

run_id int64 0 255	budget int64 5k 10M	performance float64 -3,734.97 34.6k	hp_config.buffer_batch_size int64 16 256	hp_config.buffer_prio_sampling bool 2 classes	hp_config.buffer_size int64 1.1k 1,000k	hp_config.initial_epsilon float64 0.5 1	hp_config.learning_rate float64 0 0.1	hp_config.learning_starts int64 1 32.7k	hp_config.target_epsilon float64 0 0.2	hp_config.use_target_network bool 2 classes	hp_config.buffer_alpha float64 0.02 0.98 ⌀	hp_config.buffer_beta float64 0.01 1 ⌀	hp_config.buffer_epsilon float64 0 0 ⌀	hp_config.target_update_interval float64 1 2k ⌀	seed int64 0 9
0	1,000,000	0	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	2,000,000	1,523.4375	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	3,000,000	0	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	4,000,000	0	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	5,000,000	546.875	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	6,000,000	2,000	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	7,000,000	1,000	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	8,000,000	0	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	9,000,000	3,000	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
0	10,000,000	3,000	32	false	603,170	0.772442	0.000131	21,527	0.08808	false	null	null	null	null	9
1	1,000,000	1,351.5625	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	2,000,000	3,632.8125	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	3,000,000	2,117.1875	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	4,000,000	2,351.5625	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	5,000,000	7,984.375	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	6,000,000	4,171.875	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	7,000,000	4,828.125	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	8,000,000	7,226.5625	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	9,000,000	3,703.125	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
1	10,000,000	10,210.9375	32	false	71,987	0.543565	0.000001	27,455	0.155853	false	null	null	null	null	9
2	1,000,000	257.8125	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	2,000,000	2,937.5	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	3,000,000	4,187.5	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	4,000,000	4,453.125	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	5,000,000	1,453.125	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	6,000,000	0	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	7,000,000	2,507.8125	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	8,000,000	3,000	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	9,000,000	1,421.875	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
2	10,000,000	0	16	false	144,230	0.972334	0.000407	14,187	0.053647	false	null	null	null	null	9
3	1,000,000	4,289.0625	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	2,000,000	8,835.9375	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	3,000,000	5,578.125	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	4,000,000	2,960.9375	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	5,000,000	9,132.8125	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	6,000,000	12,875	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	7,000,000	14,265.625	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	8,000,000	16,570.312	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	9,000,000	8,593.75	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
3	10,000,000	20,132.812	32	false	943,806	0.84091	0.000063	14,897	0.139829	true	null	null	null	258	9
4	1,000,000	554.6875	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	2,000,000	2,000	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	3,000,000	609.375	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	4,000,000	3,000	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	5,000,000	2,000	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	6,000,000	0	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	7,000,000	0	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	8,000,000	0	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	9,000,000	593.75	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
4	10,000,000	531.25	16	true	570,637	0.719301	0.087472	4,263	0.042566	true	0.656577	0.260759	0.000007	489	9
5	1,000,000	2,945.3125	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	2,000,000	5,531.25	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	3,000,000	8,726.5625	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	4,000,000	5,031.25	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	5,000,000	3,914.0625	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	6,000,000	2,335.9375	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	7,000,000	8,414.0625	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	8,000,000	7,921.875	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	9,000,000	11,320.3125	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
5	10,000,000	11,765.625	16	true	656,682	0.569091	0.00001	12,729	0.164378	true	0.839565	0.105137	0.000805	938	9
6	1,000,000	2,953.125	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	2,000,000	7,429.6875	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	3,000,000	5,515.625	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	4,000,000	6,171.875	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	5,000,000	4,859.375	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	6,000,000	10,953.125	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	7,000,000	7,367.1875	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	8,000,000	17,015.625	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	9,000,000	13,718.75	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
6	10,000,000	16,390.625	64	false	739,531	0.519594	0.000026	4,839	0.059932	true	null	null	null	1,385	9
7	1,000,000	1,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	2,000,000	1,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	3,000,000	1,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	4,000,000	1,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	5,000,000	531.25	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	6,000,000	2,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	7,000,000	2,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	8,000,000	2,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	9,000,000	671.875	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
7	10,000,000	1,000	32	true	523,736	0.54697	0.000758	30,524	0.064395	false	0.14048	0.719164	0.000001	null	9
8	1,000,000	554.6875	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	2,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	3,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	4,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	5,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	6,000,000	1,812.5	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	7,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	8,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	9,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
8	10,000,000	0	32	true	829,116	0.502348	0.00245	9,595	0.147304	false	0.256266	0.580396	0.000023	null	9
9	1,000,000	890.625	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	2,000,000	4,000	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	3,000,000	3,000	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	4,000,000	0	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	5,000,000	1,460.9375	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	6,000,000	0	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	7,000,000	0	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	8,000,000	546.875	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	9,000,000	1,429.6875	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9
9	10,000,000	1,398.4375	16	false	447,691	0.923204	0.003143	10,466	0.162946	true	null	null	null	1,386	9

End of preview. Expand in Dataset Viewer.

The ARLBench Performance Dataset

ARLBench is a benchmark for hyperparameter optimization in Reinforcement Learning. Since we performed several thousand runs on the benchmark to find meaningful HPO test settings in RL, we collect them in this dataset for future use. These runs could be used to meta-learn information about the hyperparameter landscape or warmstart HPO tools.

In detail, it contains each 10 runs for PPO, DQN and SAC respectively on the Atari-5 environments, four XLand gridworlds, four Brax walkers, five classic control and two Box2D environments. For more information, refer to the ARLBench paper.

Downloads last month: 99

Size of downloaded dataset files:

194 MB

Size of the auto-converted Parquet files:

24.7 MB

Number of rows:

1,328,810