External Contributions

Description

In this section you can find some examples made by other persons that are included into l2rpn-baselines if you download it with github.

Note

If you want your code to be part of this list, please let us know with a github issue, for example by filling an issue template at the official l2rpn repository: https://github.com/rte-france/l2rpn-baselines/issues . (this is also the link if you notice any error on this page)

You can find more information in the associated github repositories (links available in the subsection dedicated to the baseline).

Baseline	Notes
AsynchronousActorCritic	🥈 @ WCCI 2019
Binbinchen	🥈 @ Neurips 2020 (robustness)
geirina	🥇 @ WCCI 2019
HRI	🥉 @ WCCI 20222
IndigoSix	4️⃣ @ ICAPS 2021
Kaist	🥇 @ WCCI 2020
Lujixiang (2 submissions)	🥉 @ Neurips 2020 (robustness)
Lujixiang (2 submissions)	🥉 @ Neurips 2020 (adaptability)
MagicPowerGrids	Neurips 2020 (robustness)
Maze-rl (2 submissions)	🥉 @ ICAPS 2021
Maze-rl (2 submissions)	🥇 @ WCCI 20222
PandapowerOPFAgent	General optimization model
Rccccc.	Neurips 2020 (robustness)
Richard Wth	🥈 @ WCCI 20222
RL_Agnet (2 submissions)	🥇 @ Neurips 2020 (robustness)
RL_Agnet (2 submissions)	🥇 @ Neurips 2020 (adaptability)
SupremaciaChina	🥈 @ ICAPS 2021
Taka	Neurips 2020 (robustness)
Taka	Neurips 2020 (adaptability)
TonyS	Neurips 2020 (adaptability)
UN-aiGridOperator (2 submissions)	Neurips 2020 (robustness)
UN-aiGridOperator (2 submissions)	Neurips 2020 (adaptability)
Xd_Silly	🥇 @ ICAPS 2021
YZM_Test (2 submissions)	Neurips 2020 (robustness)
YZM_Test (2 submissions)	🥉 @ WCCI 2020

Note

They are sorted alphabatically.

Warning

We do not maintain any of these repositories. If you have trouble to make them work please contact directly their authors.

AsynchronousActorCritic

github: https://github.com/KishanGitASU/A3C-RL-baseline-agent-for-Grid2Op-environment.git

Note

2nd at the first L2RPN competion in 2019 (team “Learning_RL”)

Binbinchen

github: https://github.com/AsprinChina/L2RPN_NIPS_2020_a_PPO_Solution

Note

2nd at the third L2RPN competion in 2020 for Neurips conference, track robustness (team “binbinchen”)

Geirina

guthub: https://github.com/djmax008/GEIRINA_baseline

Note

1st at the first L2RPN competion in 2019 (team “Geirina”)

HRI

guthub: https://github.com/djmax008/GEIRINA_baseline

Note

1st at the first L2RPN competion in 2019 (team “Geirina”)

IndigoSix

github: https://github.com/qsrmlhj/L2RPN-2021

Note

4th at the fourth L2RPN competion in 2021 for ICAPS conference (team “IndigoSix”)

Kaist

github: https://github.com/sunghoonhong/L2RPN-WCCI-2020-Winner

Note

1st at the second L2RPN competion in 2020 for WCCI conference (team “shhong”)

Lujixiang (2 submissions)

github: https://github.com/lujasone/NeurIPS_2020_L2RPN_Comp_An_Approach

paper: https://github.com/lujasone/NeurIPS_2020_L2RPN_Comp_An_Approach/blob/main/NeurIPS-competition_winnning_apprach.pdf

Note

3rd at the third L2RPN competion in 2020 for Neurips conference, track robustness (team “lujixiang”)

3rd at the third L2RPN competion in 2020 for Neurips conference, track adaptability (team “lujixiang”)

MagicPowerGrids

github: https://github.com/rl-developer/l2rpn-expert_experience_strategy

Note

Participated in the third L2RPN competion in 2020 for Neurips conference, track robustness

Maze-rl (2 submissions)

github: https://github.com/enlite-ai/maze-l2rpn-2021-submission

Note

3rd at the fourth L2RPN competion in 2021 for ICAPS conference (team “Maze-rl”)

github: https://github.com/enlite-ai/maze-l2rpn-2022-submission

Note

1st at the fith L2RPN competion in 2022 for WCCI conference (team “Maze-RL”)

PandapowerOPFAgent

github: https://github.com/jhmenke/grid2op_pp_baseline

Note

This beaseline does not use any RL at all and is purely based on step by step optimization.

Rccccc.

github: https://github.com/eexuyan/A-Rainbow-based-agent-for-L2RPN

Note

Participated in the third L2RPN competion in 2020 for Neurips conference, track robustness

Richard Wth

github: https://github.com/AlibabaResearch/l2rpn-wcci-2022

Note

2nd at the fifth L2RPN competion in 2022 for WCCI conference (team “Richard Wth”)

RL_Agnet (2 submissions)

github: https://github.com/PaddlePaddle/PARL/tree/develop/benchmark/torch/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge

paper: https://arxiv.org/pdf/2106.15200.pdf

Note

1st at the third L2RPN competion in 2020 for Neurips conference, track robustness (team “rl_agnet”)

1st at the third L2RPN competion in 2020 for Neurips conference, track adaptability (team “rl_agnet”)

SupremaciaChina

github: https://github.com/horacioMartinez/L2RPN

Note

2nd at the fourth L2RPN competion in 2021 for ICAPS conference (team “SupremaciaChina”)

Taka

github: https://gitlab.com/motoki.saitama/l2rpn

Note

Participated in the third L2RPN competion in 2020 for Neurips conference, track robustness

Participated in the third L2RPN competion in 2020 for Neurips conference, track adaptability

TonyS

github: https://github.com/EricLDS/l2rpn-public-submission

Note

Participated in the third L2RPN competion in 2020 for Neurips conference, track adaptability

UN-aiGridOperator (2 submissions)

github: https://github.com/UnAIOperator/L2RPN-NEURIPS-2020

Note

7th at the third L2RPN competion in 2020 for Neurips conference, track robustness (team “UN-aiGridOperator”)

5th at the third L2RPN competion in 2020 for Neurips conference, track adaptability (team “UN-aiGridOperator”)

Xd_Silly

github: https://github.com/polixir/L2RPN_2021

Note

1st at the fourth L2RPN competion in 2021 for ICAPS conference (team “Xd_Silly”)

YZM_Test (2 submissions)

github: https://github.com/ZM-Learn/L2RPN_WCCI_a_Solution

Note

3rd at the second L2RPN competion in 2020 for WCCI conference (team “yzm_test”)

9th at the third L2RPN competion in 2020 for Neurips conference, track robustness (team “yzm_test”)