Grid2Bench/conf.ini at main · IRT-SystemX/Grid2Bench · GitHub

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[Paths]
data_path = /home/seif-eddine/PycharmProjects/RLBenchPlot/data/input
results_path = /home/seif-eddine/PycharmProjects/RLBenchPlot/data/output

[Tests]
data_path = tests/data/agents
agents_names = ['rte_case14_redisp_do_nothing_agent',
                'rte_case14_redisp_random_agent']
episodes_names = ['0', '1']

[Plotly Default kwargs]
width = 1200
height = 500
xaxis = {'rangeslider': {'visible': False}}

[Bench1]
data_path = data/input
agents_names = ['PPO_Agent', 'MazeRL_Agent', 'IEE_PPO_Agent']
episodes_names = ['nov46_2', 'jan32_1', 'jan32_2', 'jun14_2', 'sep21_1',
                 'nov46_1', 'may24_1', 'oct05_1', 'apr19_2', 'feb20_2',
                 'dec16_1', 'sep21_2', 'may24_2', 'mar39_1', 'jul28_2',
                 'jun14_1', 'oct05_2', 'mar39_2', 'dec16_2', 'feb20_1',
                 'aug02_1', 'aug02_2', 'jul28_1', 'apr19_1']
KPI = ['Cumulative rewards', 'Accomplished time steps', 'Frequency of actions
      by type', 'Frequency of actions by station', 'Frequency of actions by
      station by id', 'Impact on lines: overload',
      'Impact on lines: disconnection', 'Impact on reference topology',
      'Action Sequence Length']

[Bench2]
data_path = data/input
agents_names = ['PPO_Agent', 'MazeRL_Agent']
episodes_names = ['nov46_2', 'jan32_1', 'jan32_2', 'jun14_2', 'sep21_1',
                 'nov46_1', 'may24_1', 'oct05_1', 'apr19_2', 'feb20_2',
                 'dec16_1', 'sep21_2', 'may24_2', 'mar39_1', 'jul28_2',
                 'jun14_1', 'oct05_2', 'mar39_2', 'dec16_2', 'feb20_1',
                 'aug02_1', 'aug02_2', 'jul28_1', 'apr19_1']
KPI = ['Cumulative rewards', 'Accomplished time steps', 'Frequency of actions
      by type', 'Frequency of actions by station', 'Frequency of actions by
      station by id']

[Bench3]
data_path = data/input
agents_names = ['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']
episodes_names = ['jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'mar39_1',
                  'mar39_2', 'apr19_1', 'apr19_2', 'may24_1', 'may24_2',
                  'jun14_1', 'jun14_2']
KPI = ['Cumulative rewards', 'Accomplished time steps']

[Bench4]
data_path = data/input
agents_names = ['PPO_Agent']
episodes_names = ['dec16_1', 'dec16_2']
KPI = ['Cumulative rewards', 'Accomplished time steps', 'Frequency of actions
      by type', 'Frequency of actions by station', 'Frequency of actions by
      station by id', 'Impact on lines: overload',
      'Impact on lines: disconnection', 'Impact on reference topology',
      'Action Sequence Length']

[Bench5]
data_path = data/input
agents_names = ['PPO_Agent', 'Tutor_binbinchen', 'Tutor N-1(200 Actions)_Tutor']
episodes_names = ['jan32_1', 'jan32_2', 'feb20_1', 'feb20_2', 'mar39_1',
                  'mar39_2', 'apr19_1', 'apr19_2', 'may24_1', 'may24_2',
                  'jun14_1', 'jun14_2', 'jul28_1', 'jul28_2', 'aug02_1',
                  'aug02_2', 'sep21_1', 'sep21_2', 'oct05_1', 'oct05_2',
                  'nov46_1', 'nov46_2', 'dec16_1', 'dec16_2']
KPI = ['Cumulative rewards', 'Accomplished time steps', 'Frequency of actions
      by type', 'Frequency of actions by station', 'Frequency of actions by
      station by id', 'Impact on lines: overload',
      'Impact on lines: disconnection', 'Impact on reference topology',
      'Action Sequence Length']