obs
sequence
acts
sequence
infos
sequence
terminal
bool
rews
sequence
[[-0.08351680857227631,0.09533555227103432,-0.0041025316943131,-0.0003818997903774213,0.092837891063(...TRUNCATED)
[[0.5166324377059937,-0.7542064785957336,-0.6803553700447083,-0.6959407925605774,0.999908983707428,-(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.13302472233772278,-0.29555466771125793,-0.18966978788375854,0.3445030152797699,0.816018462181091(...TRUNCATED)
[[-0.08248847547813234,-0.09345623218094896,-0.07411293813364186,-0.07376603852654816,-0.03222749878(...TRUNCATED)
[[0.20581431686878204,-0.8928826451301575,0.25842994451522827,0.2905938923358917,-0.4896026849746704(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[0.12291255593299866,-0.31218603253364563,-0.018629195168614388,0.39019855856895447,0.31413701176643(...TRUNCATED)
[[0.06027009234428801,0.056116250487058594,0.018098322000460326,0.042362329913190666,0.0125890564565(...TRUNCATED)
[[-0.9455435276031494,-0.5788922309875488,-0.5937116146087646,0.2460472583770752,-0.3000447154045105(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.7733424305915833,-0.6508657336235046,-0.0788959190249443,0.14432907104492188,-0.1962448507547378(...TRUNCATED)
[[0.06958818600570324,0.013812915044880025,0.03588732187239349,-0.05903738513486254,0.04711256818915(...TRUNCATED)
[[-0.46489229798316956,-0.5091584324836731,0.14598678052425385,-0.9203330874443054,-0.77060705423355(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.7235597968101501,-0.7009437084197998,1.1556434631347656,-0.219863623380661,-0.10072803497314453,(...TRUNCATED)
[[-0.006610389658220223,-0.03064221191396213,-0.04506580064323804,-0.02678833493005721,0.04455441155(...TRUNCATED)
[[-0.33737900853157043,-0.36237257719039917,0.23500338196754456,0.37835565209388733,0.94768059253692(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[0.06603318452835083,-0.27410006523132324,-0.5811117887496948,-0.6515219211578369,-0.109550230205059(...TRUNCATED)
[[-0.05001214696165279,0.0869560371509763,0.01590048437478024,-0.008041388694937646,-0.0205565797490(...TRUNCATED)
[[-0.07122435420751572,0.29943910241127014,0.7470223903656006,0.39356929063796997,-0.051209606230258(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[0.029643485322594643,0.13925568759441376,-0.7011238932609558,-0.8701339364051819,-0.239061936736106(...TRUNCATED)
[[0.09255121118875362,-0.03305769443012395,0.030500067315212348,0.060797259581673396,-0.083745901213(...TRUNCATED)
[[0.924049973487854,0.1441817283630371,-0.8664835691452026,-0.21214158833026886,0.6389939785003662,-(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.24014393985271454,-0.5565668940544128,-1.210270643234253,-0.5133038759231567,-0.0523212999105453(...TRUNCATED)
[[-0.08031116224787507,0.06683282502260365,-0.0167791418047937,0.04641548499567241,-0.04381274807770(...TRUNCATED)
[[-0.2722703814506531,-0.7269593477249146,0.7258840203285217,0.3600570261478424,-0.42151492834091187(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.07940560579299927,0.3345263600349426,-0.6644729971885681,-0.11967846006155014,-0.084580853581428(...TRUNCATED)
[[-0.05846639140350185,-0.04953095352364132,0.06003178782185706,-0.0902311357359828,-0.0278293864329(...TRUNCATED)
[[-0.6119834780693054,0.606160581111908,0.2023785561323166,-0.5362954139709473,-0.8092061281204224,-(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.708380401134491,0.4276304841041565,0.9858776926994324,-0.4556032419204712,-0.9822768568992615,-0(...TRUNCATED)
[[-0.07560825390717184,0.06698256928652557,-0.0728402310942607,-0.011463305323511447,0.0480414998710(...TRUNCATED)
[[0.70811927318573,-0.7783218622207642,0.5467525124549866,-0.6179632544517517,-0.24247488379478455,-(...TRUNCATED)
["{\"x_position\": {\"py/reduce\": [{\"py/function\": \"numpy.core.multiarray.scalar\"}, {\"py/tuple(...TRUNCATED)
true
[-0.2858850657939911,-1.1598103046417236,-0.9667954444885254,0.6081961989402771,0.9867326021194458,-(...TRUNCATED)

Dataset Card for "random-seals-HalfCheetah-v1"

More Information needed

Downloads last month
37
Edit dataset card