Round 0 : Exploration Round: Completed
Round 1: Completed
Round 2: Completed
#reinforcement_learning
Flatland Challenge
Multi Agent Reinforcement Learning on Trains.
30'000 Prize Money
5 Travel Grants
Misc Prizes :
To Be Announced
Δ | # | Participants | Media | Fraction of done-agents | Mean Reward | normalized_reward | Entries | Last Submission | Submission Trend | |
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01 | mugurelionut | 0.990 | -18213.620 | -11.320 | 61 |
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02 |
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0.960 | -23621.430 | -14.620 | 51 |
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03 |
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0.951 | -21998.130 | -13.640 | 87 |
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04 | wwwjon | 0.794 | -47373.620 | -27.800 | 16 |
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05 | ai-team-flatland-netcetera | 0.555 | -48437.860 | -29.280 | 34 |
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06 |
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0.291 | -71767.740 | -43.010 | 36 |
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07 | adrian_egli | 0.279 | -72172.220 | -43.560 | 12 |
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08 |
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0.225 | -78760.060 | -47.330 | 19 |
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09 |
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0.189 | -81114.070 | -48.220 | 26 |
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10 |
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0.171 | -79127.560 | -47.890 | 31 |
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11 | faddi | 0.079 | -77132.530 | -47.380 | 23 |
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12 | rivesunder | 0.079 | -83544.320 | -50.940 | 9 |
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13 |
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0.069 | -82475.130 | -50.090 | 19 |
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14 | giulia_cantini | 0.043 | -83898.600 | -51.080 | 8 |
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15 | azeez_oluwafemi | 0.034 | -83908.410 | -51.340 | 2 |
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16 |
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0.025 | -84155.990 | -51.570 | 9 |
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17 |
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0.013 | -85241.460 | -52.210 | 28 |
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18 | neer201 | 0.008 | -85411.480 | -52.270 | 6 |
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19 | alarih | 0.008 | -85414.280 | -52.400 | 10 |
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20 | lewtun | 0.007 | -85475.670 | -52.430 | 16 |
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21 | aicrowd-bot | 0.006 | -85616.590 | -52.520 | 8 |
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22 | tenich | 0.005 | -85621.390 | -52.540 | 3 |
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23 | mlerik | 0.000 | 0.000 | -52.770 | 11 |
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23 |
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0.000 | 0.000 | -52.430 | 3 |
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23 |
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0.000 | 0.000 | -52.380 | 2 |
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23 | ashivani | 0.000 | 0.000 | -52.770 | 12 |
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23 | szgy | 0.000 | 0.000 | -52.580 | 4 |
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23 |
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0.000 | 0.000 | -52.460 | 2 |
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23 | kktach | 0.000 | 0.000 | -52.450 | 3 |
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23 | ced | 0.000 | 0.000 | -52.520 | 9 |
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23 |
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0.000 | 0.000 | -52.580 | 5 |
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23 |
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0.000 | 0.000 | -52.770 | 3 |
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23 | MasterScrat | 0.000 | 0.000 | -52.490 | 9 |
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