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han2020_reproduction

The experiments of the alpha3 hyperparameter tuning performed in our reproduction study. One experiment, the CompOscillator, was later replaced since the step size mentioned in Han et al.'s paper was inconsistent, and we later decided to increase it.
Tags
Notes
Author
rickstaa
State
Finished
Job
job-git_github.com_rickstaa_stable-learning-control.git_stable_learning_control_utils_run_entrypoint.py:v60
Start time
March 3rd, 2024 1:46:33 AM
Runtime
1h 13m 36s
Tracked hours
1h 13m 30s
Run path
rickstaa/stable-learning-control/asydf4ml
OS
Linux-6.5.0-17-generic-x86_64-with-glibc2.35
Python version
3.10.13
Git repository
git clone git@github.com:rickstaa/stable-learning-control.git
Git state
git checkout -b "han2020_reproduction_lac_fetch_reach_alpha3_tune_infinite_horizon_exp_alp1-2_s78456" 876366865998e9e90bac42339b77ed3716deaa54
Command
/home/ricks/development/work/stable-learning-control/stable_learning_control/utils/run_entrypoint.py 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
System Hardware
CPU count6
Logical CPU count 12
GPU count2
GPU typeNVIDIA GeForce GTX 1070 Ti
W&B CLI Version
0.16.3
Group
han2020_reproduction
Job Type
train
Config

Config parameters are your model's inputs. Learn more

  • ▶
    {} 40 keys
    • ▶
      {} 3 keys
      • ▶
        {} 2 keys
        • "nn.ReLU"
        • "nn.ReLU"
      • ▶
        {} 2 keys
        • ▶
          [] 2 items
          • 256
          • 256
        • ▶
          [] 3 items
          • 64
          • 64
          • 16
      • ▶
        {} 1 key
        • "nn.ReLU"
    • true
    • 2
    • 1.2
    • 256
    • "gpu:1"
    • "FetchReachCost-v1"
    • "stable_gym.envs.robotics.fetch.fetch_reach_cost.fetch_reach_cost.FetchReachCost"
    • 147
    • "han2020_reproduction_lac_fetch_reach_alpha3_tune_infinite_horizon_exp_alp1-2"
    • false
    • 0.995
    • 0
    • 0.99
    • 0.0001
    • "linear"
    • 0.00000000033333333
    • 0.0001
    • "linear"
    • 0.00000000033333333
    • 0.0003
    • "linear"
    • 0.000000001
    • "step"
    • "linear"
    • 0.0003
    • "constant"
    • 0.000000001
    • 200
    • 10
    • "minimize"
    • 0.995
    • 1,000,000
    • 10
    • 78,456
    • 0
    • 2,048
    • 80
    • 1,000
    • 100
Summary

Summary metrics are your model's outputs. Learn more

  • ▶
    {} 32 keys
    • 0.0005249746609479189
    • -3.9982409477233887
    • 200
    • 2.318068742752075
    • 0.00005979481647955254
    • 1
    • 3.998241662979126
    • 0.00000092330236611815
    • -0.9543694257736206
    • 0.016693957149982452
    • 1.4537166357040403
    • 200
    • 1.6853328943252563
    • 147
    • 0.00000000033333333
    • 0.00000000033333333
    • 0.000000001
    • 0.0003
    • 6.2460246086120605
    • 37.948089599609375
    • 9.855405807495115
    • 3.457725524902344
    • 1.1357077360153198
    • -10.5485200881958
    • 1.0347888469696045
    • 0.8578479886054993
    • 1.3726903200149536
    • 2.768646240234375
    • 0.4558997452259064
    • 0.7935798168182373
    • 4,406.9546229839325
    • 301,056
Artifact Inputs

This run consumed these artifacts as inputs. Learn more

1-1
of 1
Type
Name
Consumer count
job
job-git_github.com_rickstaa_stable-learning-control.git_stable_learning_control_utils_run_entrypoint.py:v60
75
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Artifact Outputs

This run produced these artifacts as outputs. Total: 5. Learn more

1-5
of 5
Type
Name
Consumer count
state
state:v229
0
metadata
config:v1173
0
diagnostics
progress:v1204
0
model
model:v1141
0
wandb-history
run-asydf4ml-history:v0
0
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