Search is not available for this dataset
observations
sequence | actions
sequence | rewards
sequence | dones
sequence |
|---|---|---|---|
[[7.0,7.0,24.0,20.0,18.299999237060547,22.799999237060547,20.0,84.0,81.0,68.0,81.0,0.0,25.0,964.0,0.(...TRUNCATED) | [[0.7178493738174438],[0.5463113188743591],[0.2803027629852295],[0.12444329261779785],[-0.1425719112(...TRUNCATED) | [-9.275287628173828,-4.8446526527404785,-1.5441710948944092,-1.7967686653137207,-0.6876668930053711,(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[7.0,7.0,24.0,20.0,18.299999237060547,22.799999237060547,20.0,84.0,81.0,68.0,81.0,0.0,25.0,964.0,0.(...TRUNCATED) | [[-0.5261653065681458],[0.7717067003250122],[0.9956236481666565],[0.16022589802742004],[-0.084310129(...TRUNCATED) | [-1.4720659255981445,-12.321161270141602,-4.279945373535156,-1.1583058834075928,-1.1284570693969727,(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[7.0,7.0,24.0,20.0,18.299999237060547,22.799999237060547,20.0,84.0,81.0,68.0,81.0,0.0,25.0,964.0,0.(...TRUNCATED) | [[0.5913618803024292],[-0.3980458974838257],[0.897175133228302],[-0.2835032045841217],[0.06462719291(...TRUNCATED) | [-5.475841045379639,-2.0769705772399902,-10.547670364379883,-2.235133409500122,-1.1148643493652344,-(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[7.0,7.0,24.0,20.0,18.299999237060547,22.799999237060547,20.0,84.0,81.0,68.0,81.0,0.0,25.0,964.0,0.(...TRUNCATED) | [[0.592954695224762],[0.6153920888900757],[-0.359213650226593],[0.383648544549942],[-0.1978158503770(...TRUNCATED) | [-9.993701934814453,-5.491728782653809,-1.7278454303741455,-5.306967258453369,-1.2140891551971436,-1(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[7.0,7.0,24.0,20.0,18.299999237060547,22.799999237060547,20.0,84.0,81.0,68.0,81.0,0.0,25.0,964.0,0.(...TRUNCATED) | [[-0.02135959267616272],[-0.3399709463119507],[0.4454614818096161],[0.6966578960418701],[-0.28574159(...TRUNCATED) | [-0.4859394431114197,-0.47259220480918884,-5.569955348968506,-7.282356262207031,-1.9747744798660278,(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[10.0,1.0,5.0,13.899999618530273,23.299999237060547,18.299999237060547,17.200000762939453,32.0,25.0(...TRUNCATED) | [[-0.051584742963314056],[-0.03960993513464928],[-0.0043619051575660706],[0.041164182126522064],[0.0(...TRUNCATED) | [-0.6818634271621704,-0.5752638578414917,-0.3811720311641693,-0.11780885607004166,-0.118007436394691(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[10.0,1.0,5.0,13.899999618530273,23.299999237060547,18.299999237060547,17.200000762939453,32.0,25.0(...TRUNCATED) | [[-0.040506474673748016],[-0.02789241261780262],[0.00016114860773086548],[0.0429585725069046],[0.051(...TRUNCATED) | [-0.35871097445487976,-0.3696262240409851,-0.26423585414886475,-0.3897823691368103,-0.22460421919822(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[10.0,1.0,5.0,13.899999618530273,23.299999237060547,18.299999237060547,17.200000762939453,32.0,25.0(...TRUNCATED) | [[-0.041005637496709824],[-0.037942588329315186],[0.002536468207836151],[0.04358527064323425],[0.099(...TRUNCATED) | [-0.3736167550086975,-0.18108730018138885,-0.039531074464321136,-0.03789565712213516,-0.045701235532(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[10.0,1.0,5.0,13.899999618530273,23.299999237060547,18.299999237060547,17.200000762939453,32.0,25.0(...TRUNCATED) | [[-0.040854692459106445],[-0.028292514383792877],[-0.016412246972322464],[0.018229655921459198],[0.0(...TRUNCATED) | [-0.3737811744213104,-0.7844443917274475,-0.6013462543487549,-0.3198995590209961,-0.4900975227355957(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
[[10.0,1.0,5.0,13.899999618530273,23.299999237060547,18.299999237060547,17.200000762939453,32.0,25.0(...TRUNCATED) | [[-0.036794669926166534],[-0.023508137091994286],[0.005119919776916504],[0.0504826083779335],[0.1253(...TRUNCATED) | [-0.2286747246980667,-0.21401731669902802,-0.09082825481891632,-0.13188757002353668,-0.9478282928466(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) |
End of preview. Expand
in Dataset Viewer.
Dataset Card for Dataset CityLearn
This dataset is used to train a decision Transformer for the CityLearn 2022 environment https://www.aicrowd.com/challenges/neurips-2022-citylearn-challenge. You can load data from this dataset via:
datasets.load_dataset('TobiTob/CityLearn', 'data_name')
A short description of all data sets can be found in file CityLearn.py
- Downloads last month
- 160