Dataset Viewer
Auto-converted to Parquet Duplicate
env_name
string
env_idx
int64
global_step
int64
episode_step
int64
action
int64
reward
float64
xformed_reward
float64
done
int64
observation
list
metadata_masspole_flag
int64
metadata_masspole
float64
metadata_gravity_flag
int64
metadata_gravity
float64
metadata_q_star
list
train
0
0
0
1
0
0
0
[ 0.02739560417830944, -0.006112155970185995, 0.03585979342460632, 0.019736802205443382 ]
0
0
0
0
[ 0, 1 ]
train
0
1
1
1
1
0.001
0
[ 0.02727336250245571, 0.18319766223430634, 0.036254528909921646, -0.2521555721759796 ]
1
0.1
1
1.254494
[ 1, 0 ]
train
0
2
2
0
1
0.003
0
[ 0.03093731589615345, -0.004467005841434002, 0.03121141716837883, 0.04117709770798683 ]
1
0.1
0
0
[ 0, 1 ]
train
0
3
3
1
1
0.005
0
[ 0.030847974121570587, 0.17542284727096558, 0.03203495964407921, -0.21817715466022491 ]
1
0.1
0
0
[ 0, 1 ]
train
0
4
4
1
1
0.007
0
[ 0.03435643017292023, 0.3506588339805603, 0.027671415358781815, -0.46969160437583923 ]
1
0.1
1
0.606289
[ 1, 0 ]
train
0
5
5
0
1
0.009
0
[ 0.04136960953474045, 0.1743064969778061, 0.01827758364379406, -0.19558550417423248 ]
1
0.1
0
0
[ 0, 1 ]
train
0
6
6
0
1
0.011
0
[ 0.044855739921331406, 0.002219435991719365, 0.01436587329953909, 0.06889555603265762 ]
1
0.1
0
0
[ 0, 1 ]
train
0
7
7
1
1
0.013
0
[ 0.04490012675523758, 0.16738706827163696, 0.015743784606456757, -0.1743825525045395 ]
1
0.1
1
-1.340178
[ 0, 1 ]
train
0
8
8
0
1
0.015
0
[ 0.048247870057821274, 0.0023574631195515394, 0.012256133370101452, 0.07800554484128952 ]
1
0.1
0
0
[ 0, 1 ]
train
0
9
9
0
1
0.017
0
[ 0.04829501733183861, -0.15914511680603027, 0.013816244900226593, 0.3240358531475067 ]
1
0.1
0
0
[ 0, 1 ]
train
0
10
10
0
1
0.019
0
[ 0.045112114399671555, -0.31762972474098206, 0.020296961069107056, 0.5655745267868042 ]
1
0.1
1
-1.069137
[ 0, 1 ]
train
0
11
11
0
1
0.021
0
[ 0.03875952214002609, -0.4739706218242645, 0.0316084548830986, 0.8056705594062805 ]
1
0.1
0
0
[ 0, 1 ]
train
0
12
12
0
1
0.023
0
[ 0.029280109331011772, -0.6288996338844299, 0.04772186279296875, 1.0467191934585571 ]
1
0.1
0
0
[ 0, 1 ]
train
0
13
13
1
1
0.025
0
[ 0.016702115535736084, -0.48831143975257874, 0.06865625083446503, 0.8512395620346069 ]
1
0.1
1
1.343472
[ 0, 1 ]
train
0
14
14
0
1
0.027
0
[ 0.0069358875043690205, -0.6444879770278931, 0.08568104356527328, 1.106757640838623 ]
1
0.1
0
0
[ 0, 1 ]
train
0
15
15
1
1
0.029
0
[ -0.005953872576355934, -0.5167208909988403, 0.1078161895275116, 0.9430102705955505 ]
1
0.1
0
0
[ 0, 1 ]
train
0
16
16
1
1
0.031
0
[ -0.016288289800286293, -0.39242079854011536, 0.12667639553546906, 0.7844620943069458 ]
1
0.1
1
-2.28718
[ 0, 1 ]
train
0
17
17
0
1
0.033
0
[ -0.024136705324053764, -0.546484649181366, 0.14236563444137573, 1.0451936721801758 ]
1
0.1
0
0
[ 0, 1 ]
train
0
18
18
1
1
0.035
0
[ -0.0350663997232914, -0.43363502621650696, 0.1632695198059082, 0.9129942655563354 ]
1
0.1
0
0
[ 0, 1 ]
train
0
19
19
0
1
0.037
0
[ -0.04373909905552864, -0.5906612873077393, 0.18152940273284912, 1.1904730796813965 ]
1
0.1
1
0.935168
[ 0, 1 ]
train
0
20
20
0
1
0.039
0
[ -0.05555232614278793, -0.7469266057014465, 0.20533886551856995, 1.4710794687271118 ]
1
0.1
0
0
[ 0, 1 ]
train
0
21
21
0
1
0.041
1
[ -0.07049085944890976, -0.9021093249320984, 0.23476044833660126, 1.7555021047592163 ]
1
0.1
0
0
[ 0, 1 ]
train
0
22
0
1
0
0
0
[ -0.040582265704870224, 0.04756223410367966, 0.026113970205187798, 0.02860642969608307 ]
0
0
0
0
[ 0, 1 ]
train
0
23
1
1
1
0.001
0
[ -0.03963102027773857, 0.23717530071735382, 0.02668609842658043, -0.2468438595533371 ]
1
0.1
1
1.526428
[ 1, 0 ]
train
0
24
2
1
1
0.003
0
[ -0.034887515008449554, 0.4219341576099396, 0.02174922078847885, -0.5148168206214905 ]
1
0.1
0
0
[ 1, 0 ]
train
0
25
3
0
1
0.005
0
[ -0.02644883096218109, 0.23881728947162628, 0.01145288534462452, -0.23281683027744293 ]
1
0.1
0
0
[ 1, 0 ]
train
0
26
4
0
1
0.007
0
[ -0.021672485396265984, 0.06018576771020889, 0.006796549074351788, 0.03900257870554924 ]
1
0.1
1
-0.005347
[ 0, 1 ]
train
0
27
5
0
1
0.009
0
[ -0.02046876959502697, -0.11432622373104095, 0.007576600648462772, 0.30307283997535706 ]
1
0.1
0
0
[ 0, 1 ]
train
0
28
6
0
1
0.011
0
[ -0.022755295038223267, -0.2852969169616699, 0.013638056814670563, 0.5620947480201721 ]
1
0.1
0
0
[ 0, 1 ]
train
0
29
7
0
1
0.013
0
[ -0.028461232781410217, -0.4536178410053253, 0.024879952892661095, 0.8196489810943604 ]
1
0.1
1
1.135492
[ 0, 1 ]
train
0
30
8
1
1
0.015
0
[ -0.03753358870744705, -0.2936983108520508, 0.041272930800914764, 0.5891405344009399 ]
1
0.1
0
0
[ 0, 1 ]
train
0
31
9
1
1
0.017
0
[ -0.04340755566954613, -0.139903262257576, 0.053055744618177414, 0.374063640832901 ]
1
0.1
0
0
[ 0, 1 ]
train
0
32
10
0
1
0.019
0
[ -0.04620562121272087, -0.3038879930973053, 0.06053701415657997, 0.6370693445205688 ]
1
0.1
1
-1.535448
[ 0, 1 ]
train
0
33
11
1
1
0.021
0
[ -0.052283380180597305, -0.15931333601474762, 0.07327840477228165, 0.44042643904685974 ]
1
0.1
0
0
[ 0, 1 ]
train
0
34
12
0
1
0.023
0
[ -0.05546964704990387, -0.3212144672870636, 0.08208692818880081, 0.7066133618354797 ]
1
0.1
0
0
[ 0, 1 ]
train
0
35
13
1
1
0.025
0
[ -0.06189393624663353, -0.18785852193832397, 0.09621919691562653, 0.535349428653717 ]
1
0.1
1
0.500907
[ 0, 1 ]
train
0
36
14
0
1
0.027
0
[ -0.06565111130475998, -0.34966397285461426, 0.10692618787288666, 0.8098546862602234 ]
1
0.1
0
0
[ 0, 1 ]
train
0
37
15
0
1
0.029
0
[ -0.07264439016580582, -0.5109244585037231, 0.12312328070402145, 1.0869336128234863 ]
1
0.1
0
0
[ 0, 1 ]
train
0
38
16
1
1
0.031
0
[ -0.08286287635564804, -0.39453405141830444, 0.14486195147037506, 0.9544157385826111 ]
1
0.1
1
-0.362857
[ 0, 1 ]
train
0
39
17
0
1
0.033
0
[ -0.09075355529785156, -0.5570945739746094, 0.16395026445388794, 1.2435961961746216 ]
1
0.1
0
0
[ 0, 1 ]
train
0
40
18
1
1
0.035
0
[ -0.10189545154571533, -0.4552796483039856, 0.1888221949338913, 1.1470730304718018 ]
1
0.1
0
0
[ 0, 1 ]
train
0
41
19
1
1
0.037
1
[ -0.11100104451179504, -0.3578888475894928, 0.2117636501789093, 1.0582616329193115 ]
1
0.1
1
-1.34907
[ 0, 1 ]
train
0
42
0
0
0
0
0
[ -0.037188638001680374, -0.004961406346410513, -0.012920198030769825, 0.042676497250795364 ]
0
0
0
0
[ 0, 1 ]
train
0
43
1
1
1
0.001
0
[ -0.037287864834070206, 0.1858779937028885, -0.012066667899489403, -0.24742089211940765 ]
1
0.1
1
0.164516
[ 1, 0 ]
train
0
44
2
0
1
0.003
0
[ -0.0335703045129776, 0.0003383425937499851, -0.017015084624290466, 0.027261240407824516 ]
1
0.1
0
0
[ 0, 1 ]
train
0
45
3
0
1
0.005
0
[ -0.03356353938579559, -0.18054097890853882, -0.016469860449433327, 0.2934547960758209 ]
1
0.1
0
0
[ 0, 1 ]
train
0
46
4
0
1
0.007
0
[ -0.03717435896396637, -0.35704174637794495, -0.010600765235722065, 0.5524660348892212 ]
1
0.1
1
1.580209
[ 0, 1 ]
train
0
47
5
0
1
0.009
0
[ -0.044315192848443985, -0.5300063490867615, 0.0004485562676563859, 0.808227002620697 ]
1
0.1
0
0
[ 0, 1 ]
train
0
48
6
0
1
0.011
0
[ -0.05491532012820244, -0.7002636194229126, 0.016613095998764038, 1.0637682676315308 ]
1
0.1
0
0
[ 0, 1 ]
train
0
49
7
0
1
0.013
0
[ -0.06892058998346329, -0.8687027096748352, 0.037888459861278534, 1.3221557140350342 ]
1
0.1
1
0.020451
[ 0, 1 ]
train
0
50
8
1
1
0.015
0
[ -0.08629464358091354, -0.7099008560180664, 0.06433157622814178, 1.0972663164138794 ]
1
0.1
0
0
[ 0, 1 ]
train
0
51
9
0
1
0.017
0
[ -0.10049266368150711, -0.8777688145637512, 0.08627690374851227, 1.3708522319793701 ]
1
0.1
0
0
[ 0, 1 ]
train
0
52
10
1
1
0.019
0
[ -0.1180480420589447, -0.7335329055786133, 0.11369394510984421, 1.1863219738006592 ]
1
0.1
1
0.433928
[ 0, 1 ]
train
0
53
11
1
1
0.021
0
[ -0.13271869719028473, -0.5981462001800537, 0.1374203860759735, 1.025391697883606 ]
1
0.1
0
0
[ 0, 1 ]
train
0
54
12
1
1
0.023
0
[ -0.14468161761760712, -0.47150126099586487, 0.1579282134771347, 0.8865272402763367 ]
1
0.1
0
0
[ 0, 1 ]
train
0
55
13
0
1
0.025
0
[ -0.15411165356636047, -0.6438094973564148, 0.17565876245498657, 1.1979315280914307 ]
1
0.1
1
-0.096529
[ 0, 1 ]
train
0
56
14
1
1
0.027
0
[ -0.1669878363609314, -0.5319282412528992, 0.199617400765419, 1.095093846321106 ]
1
0.1
0
0
[ 0, 1 ]
train
0
57
15
1
1
0.029
1
[ -0.17762640118598938, -0.4294641315937042, 0.22151927649974823, 1.0152561664581299 ]
1
0.1
0
0
[ 0, 1 ]
train
0
58
0
1
0
0
0
[ 0.014386512339115143, 0.03227616101503372, -0.005658579990267754, -0.02727612853050232 ]
0
0
0
0
[ 0, 1 ]
train
0
59
1
0
1
0.001
0
[ 0.015032035298645496, -0.1580485850572586, -0.0062041026540100574, 0.25662535429000854 ]
1
0.1
1
-0.486276
[ 0, 1 ]
train
0
60
2
1
1
0.003
0
[ 0.011871063150465488, 0.028237156569957733, -0.0010715953540056944, -0.024531366303563118 ]
1
0.1
0
0
[ 0, 1 ]
train
0
61
3
1
1
0.005
0
[ 0.012435806915163994, 0.21010972559452057, -0.0015622227219864726, -0.2976394593715668 ]
1
0.1
0
0
[ 1, 0 ]
train
0
62
4
0
1
0.007
0
[ 0.016638001427054405, 0.03242139518260956, -0.007515012286603451, -0.03151196241378784 ]
1
0.1
1
-0.679543
[ 0, 1 ]
train
0
63
5
1
1
0.009
0
[ 0.017286429181694984, 0.20683832466602325, -0.00814525131136179, -0.29507654905319214 ]
1
0.1
0
0
[ 1, 0 ]
train
0
64
6
1
1
0.011
0
[ 0.02142319455742836, 0.3776702284812927, -0.014046781696379185, -0.5534257292747498 ]
1
0.1
0
0
[ 1, 0 ]
train
0
65
7
0
1
0.013
0
[ 0.028976600617170334, 0.21204659342765808, -0.025115296244621277, -0.30818113684654236 ]
1
0.1
1
-1.12001
[ 1, 0 ]
train
0
66
8
1
1
0.015
0
[ 0.03321753069758415, 0.37731584906578064, -0.03127891942858696, -0.5616678595542908 ]
1
0.1
0
0
[ 1, 0 ]
train
0
67
9
0
1
0.017
0
[ 0.04076384752988815, 0.2201477289199829, -0.04251227527856827, -0.333080917596817 ]
1
0.1
0
0
[ 1, 0 ]
train
0
68
10
1
1
0.019
0
[ 0.045166801661252975, 0.38023099303245544, -0.04917389526963234, -0.5809898376464844 ]
1
0.1
1
-1.238818
[ 1, 0 ]
train
0
69
11
1
1
0.021
0
[ 0.052771423012018204, 0.5379260182380676, -0.060793690383434296, -0.8265002369880676 ]
1
0.1
0
0
[ 1, 0 ]
train
0
70
12
0
1
0.023
0
[ 0.06352994590997696, 0.39257097244262695, -0.07732369750738144, -0.6203084588050842 ]
1
0.1
0
0
[ 1, 0 ]
train
0
71
13
0
1
0.025
0
[ 0.07138136029243469, 0.251395046710968, -0.08972986042499542, -0.4219928979873657 ]
1
0.1
1
-0.745198
[ 1, 0 ]
train
0
72
14
0
1
0.027
0
[ 0.07640926539897919, 0.11474068462848663, -0.0981697216629982, -0.2327026128768921 ]
1
0.1
0
0
[ 1, 0 ]
train
0
73
15
0
1
0.029
0
[ 0.07870408147573471, -0.017838383093476295, -0.10282377153635025, -0.051052190363407135 ]
1
0.1
0
0
[ 1, 0 ]
train
0
74
16
1
1
0.031
0
[ 0.07834731042385101, 0.1299889236688614, -0.10384481400251389, -0.28657644987106323 ]
1
0.1
1
-0.673666
[ 1, 0 ]
train
0
75
17
1
1
0.033
0
[ 0.08094708621501923, 0.27568021416664124, -0.10957634449005127, -0.5190386176109314 ]
1
0.1
0
0
[ 1, 0 ]
train
0
76
18
0
1
0.035
0
[ 0.08646069467067719, 0.15134426951408386, -0.11995711922645569, -0.34958600997924805 ]
1
0.1
0
0
[ 1, 0 ]
train
0
77
19
1
1
0.037
0
[ 0.08948757499456406, 0.29024577140808105, -0.12694883346557617, -0.5681536793708801 ]
1
0.1
1
-1.593978
[ 1, 0 ]
train
0
78
20
0
1
0.039
0
[ 0.09529249370098114, 0.16900600492954254, -0.13831190764904022, -0.40014931559562683 ]
1
0.1
0
0
[ 1, 0 ]
train
0
79
21
1
1
0.041
0
[ 0.09867261350154877, 0.30446892976760864, -0.14631490409374237, -0.6148974299430847 ]
1
0.1
0
0
[ 1, 0 ]
train
0
80
22
1
1
0.043
0
[ 0.1047619953751564, 0.4355206787586212, -0.15861284732818604, -0.8203436136245728 ]
1
0.1
1
-0.754632
[ 1, 0 ]
train
0
81
23
1
1
0.045
0
[ 0.11347240954637527, 0.5641177892684937, -0.17501972615718842, -1.022701382637024 ]
1
0.1
0
0
[ 1, 0 ]
train
0
82
24
0
1
0.047
0
[ 0.12475476413965225, 0.452082097530365, -0.19547374546527863, -0.8703159093856812 ]
1
0.1
0
0
[ 1, 0 ]
train
0
83
25
1
1
0.049
1
[ 0.13379640877246857, 0.5810695290565491, -0.21288007497787476, -1.0806130170822144 ]
1
0.1
1
1.010383
[ 1, 0 ]
train
0
84
0
0
0
0
0
[ 0.005458478815853596, -0.04361827298998833, 0.03276311606168747, 0.013166439719498158 ]
0
0
0
0
[ 0, 1 ]
train
0
85
1
0
1
0.001
0
[ 0.004586113151162863, -0.2351817488670349, 0.03302644565701485, 0.31208863854408264 ]
1
0.1
1
2.13751
[ 0, 1 ]
train
0
86
2
1
1
0.003
0
[ -0.00011752172576962039, -0.050817497074604034, 0.039268217980861664, 0.0475185327231884 ]
1
0.1
0
0
[ 0, 1 ]
train
0
87
3
1
1
0.005
0
[ -0.0011338717304170132, 0.12837141752243042, 0.04021858796477318, -0.2069983035326004 ]
1
0.1
0
0
[ 1, 0 ]
train
0
88
4
0
1
0.007
0
[ 0.001433556666597724, -0.05269284173846245, 0.03607862442731857, 0.07965350151062012 ]
1
0.1
1
0.725928
[ 0, 1 ]
train
0
89
5
1
1
0.009
0
[ 0.00037969983532093465, 0.11756224185228348, 0.03767169266939163, -0.16185951232910156 ]
1
0.1
0
0
[ 0, 1 ]
train
0
90
6
1
1
0.011
0
[ 0.002730944659560919, 0.2834167778491974, 0.03443450480699539, -0.39615657925605774 ]
1
0.1
0
0
[ 1, 0 ]
train
0
91
7
1
1
0.013
0
[ 0.008399279788136482, 0.4452400207519531, 0.02651137113571167, -0.6243883967399597 ]
1
0.1
1
1.239278
[ 1, 0 ]
train
0
92
8
1
1
0.015
0
[ 0.017304079607129097, 0.6044595837593079, 0.014023602940142155, -0.8520777225494385 ]
1
0.1
0
0
[ 1, 0 ]
train
0
93
9
0
1
0.017
0
[ 0.02939327247440815, 0.44222089648246765, -0.003017951501533389, -0.6028948426246643 ]
1
0.1
0
0
[ 1, 0 ]
train
0
94
10
1
1
0.019
0
[ 0.038237690925598145, 0.5996518731117249, -0.015075848437845707, -0.8403815031051636 ]
1
0.1
1
0.912211
[ 1, 0 ]
train
0
95
11
1
1
0.021
0
[ 0.0502307265996933, 0.7564671039581299, -0.03188347816467285, -1.082277774810791 ]
1
0.1
0
0
[ 1, 0 ]
train
0
96
12
0
1
0.023
0
[ 0.06536006927490234, 0.6122121214866638, -0.0535290353000164, -0.8801734447479248 ]
1
0.1
0
0
[ 1, 0 ]
train
0
97
13
1
1
0.025
0
[ 0.07760430872440338, 0.7722681760787964, -0.07113250344991684, -1.1444302797317505 ]
1
0.1
1
0.459252
[ 1, 0 ]
train
0
98
14
0
1
0.027
0
[ 0.09304967522621155, 0.6440470814704895, -0.09402111172676086, -0.9851523041725159 ]
1
0.1
0
0
[ 1, 0 ]
train
0
99
15
0
1
0.029
0
[ 0.1059306189417839, 0.5255180597305298, -0.11372415721416473, -0.851163387298584 ]
1
0.1
0
0
[ 1, 0 ]
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
62