Duckietown Challenges Home Challenges Submissions

Job 20269

Job ID20269
submission2867
userPeter Almasi 🇭🇺
user labelBaseline solution using reinforcement learning
challengeaido2-LF-sim-validation
stepstep1-simulation
statussuccess
up to date Note that this job is not up to date; the challenge has been changed.
evaluatorip-172-31-42-167-7357
date started
date completed
duration0:07:58
message
Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec_median0.44297048542714457
survival_time_median2.0500000000000007
deviation-center-line_median0.08953577537338529
in-drivable-lane_median0.49999999999999967


other stats
agent_compute-ego_max0.213336508448531
agent_compute-ego_mean0.1926198403995116
agent_compute-ego_median0.1910839768556448
agent_compute-ego_min0.16978357684227727
deviation-center-line_max0.24789569373841508
deviation-center-line_mean0.13160590632948438
deviation-center-line_min0.06458578907942444
deviation-heading_max1.2702004944853955
deviation-heading_mean0.6103558567583608
deviation-heading_median0.33274407178231713
deviation-heading_min0.20978750590343137
driven_any_max1.3772174106612145
driven_any_mean0.902297287365388
driven_any_median0.8452391122983286
driven_any_min0.46176764788650015
driven_lanedir_consec_max1.036739111167846
driven_lanedir_consec_mean0.5366746899313497
driven_lanedir_consec_min0.26685108973745963
driven_lanedir_max1.036739111167846
driven_lanedir_mean0.5741193818017196
driven_lanedir_median0.45485966513861387
driven_lanedir_min0.26685108973745963
in-drivable-lane_max1.0000000000000009
in-drivable-lane_mean0.4799999999999998
in-drivable-lane_min0
per-episodes
details{"ETHZ_autolab_technical_track-0-0": {"driven_any": 0.9999136595959284, "sim_physics": 0.10848534397962616, "survival_time": 2.0500000000000007, "driven_lanedir": 0.6691765575375341, "sim_render-ego": 0.0676127643119998, "in-drivable-lane": 0.5, "agent_compute-ego": 0.213336508448531, "deviation-heading": 0.32381814220034477, "set_robot_commands": 0.0981590631531506, "deviation-center-line": 0.08953577537338529, "driven_lanedir_consec": 0.6691765575375341, "sim_compute_sim_state": 0.04245465557749679, "sim_compute_performance-ego": 0.0739956367306593, "sim_compute_robot_state-ego": 0.08141279220581055}, "ETHZ_autolab_technical_track-1-0": {"driven_any": 1.3772174106612145, "sim_physics": 0.09370642323647776, "survival_time": 3.099999999999997, "driven_lanedir": 1.036739111167846, "sim_render-ego": 0.07331765467120756, "in-drivable-lane": 0.3999999999999986, "agent_compute-ego": 0.16978357684227727, "deviation-heading": 0.9152290694203156, "set_robot_commands": 0.09231062089243244, "deviation-center-line": 0.24789569373841508, "driven_lanedir_consec": 1.036739111167846, "sim_compute_sim_state": 0.03748007359043244, "sim_compute_performance-ego": 0.06903535704458913, "sim_compute_robot_state-ego": 0.06702508464936287}, "ETHZ_autolab_technical_track-2-0": {"driven_any": 0.8452391122983286, "sim_physics": 0.12551954159369835, "survival_time": 2.5999999999999988, "driven_lanedir": 0.45485966513861387, "sim_render-ego": 0.05742545311267559, "in-drivable-lane": 0.49999999999999967, "agent_compute-ego": 0.1910839768556448, "deviation-heading": 1.2702004944853955, "set_robot_commands": 0.11400809654822716, "deviation-center-line": 0.17839329168878798, "driven_lanedir_consec": 0.2676362057867645, "sim_compute_sim_state": 0.04677780316426204, "sim_compute_performance-ego": 0.07720627234532283, "sim_compute_robot_state-ego": 0.09670512492840108}, "ETHZ_autolab_technical_track-3-0": {"driven_any": 0.46176764788650015, "sim_physics": 0.0961758053821066, "survival_time": 1.1500000000000004, "driven_lanedir": 0.44297048542714457, "sim_render-ego": 0.06410426678864853, "in-drivable-lane": 0, "agent_compute-ego": 0.20454657596090567, "deviation-heading": 0.33274407178231713, "set_robot_commands": 0.10103412296461024, "deviation-center-line": 0.077618981767409, "driven_lanedir_consec": 0.44297048542714457, "sim_compute_sim_state": 0.040834395781807274, "sim_compute_performance-ego": 0.06803756174833878, "sim_compute_robot_state-ego": 0.07723411269809889}, "ETHZ_autolab_technical_track-4-0": {"driven_any": 0.8273486063849694, "sim_physics": 0.10106016494132378, "survival_time": 1.850000000000001, "driven_lanedir": 0.26685108973745963, "sim_render-ego": 0.067210358542365, "in-drivable-lane": 1.0000000000000009, "agent_compute-ego": 0.1843485638901994, "deviation-heading": 0.20978750590343137, "set_robot_commands": 0.0965404832685316, "deviation-center-line": 0.06458578907942444, "driven_lanedir_consec": 0.26685108973745963, "sim_compute_sim_state": 0.03831277666865168, "sim_compute_performance-ego": 0.0633232915723646, "sim_compute_robot_state-ego": 0.07156871460579536}}
set_robot_commands_max0.11400809654822716
set_robot_commands_mean0.1004104773653904
set_robot_commands_median0.0981590631531506
set_robot_commands_min0.09231062089243244
sim_compute_performance-ego_max0.07720627234532283
sim_compute_performance-ego_mean0.07031962388825493
sim_compute_performance-ego_median0.06903535704458913
sim_compute_performance-ego_min0.0633232915723646
sim_compute_robot_state-ego_max0.09670512492840108
sim_compute_robot_state-ego_mean0.07878916581749373
sim_compute_robot_state-ego_median0.07723411269809889
sim_compute_robot_state-ego_min0.06702508464936287
sim_compute_sim_state_max0.04677780316426204
sim_compute_sim_state_mean0.04117194095653005
sim_compute_sim_state_median0.040834395781807274
sim_compute_sim_state_min0.03748007359043244
sim_physics_max0.12551954159369835
sim_physics_mean0.10498945582664654
sim_physics_median0.10106016494132378
sim_physics_min0.09370642323647776
sim_render-ego_max0.07331765467120756
sim_render-ego_mean0.06593409948537929
sim_render-ego_median0.067210358542365
sim_render-ego_min0.05742545311267559
simulation-passed1
survival_time_max3.099999999999997
survival_time_mean2.1499999999999995
survival_time_min1.1500000000000004

Highlights

20269

Click the images to see detailed statistics about the episode.

ETHZ_autolab_technical_track-0-0

ETHZ_autolab_technical_track-1-0

ETHZ_autolab_technical_track-2-0

ETHZ_autolab_technical_track-3-0

ETHZ_autolab_technical_track-4-0

Artifacts

The artifacts are hidden.

Container logs

The logs are hidden.