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Benchmarks
Reinforcement Learning on Walker2d v4
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39,641,353
Avg Return
MDC-SAN
-1,581,491
9,120,593.5
19,822,678
30,524,762.5
Jan 29, 2026
Jan 30, 2026
Jan 31, 2026
Feb 1, 2026
Avg Return
Updated 4d ago
Evaluation Results
Method
Method
Links
Avg Return
MDC-SAN
2026.02
39,641,353
pop-SAN
2026.02
33,071,514
Vanilla LIF
2026.02
18,621,450
DSN
2026.02
4,436,196
ANN
Base Algorithm=TD3
2026.02
4,340,383
PT-LIF
2026.02
4,314,423
ANN-SNN
2026.02
4,235,354
ILC-SAN
2026.02
4,200,717
S-PLIF
Frame=PT
2026.01
4,497
PLIF
Frame=PT
2026.01
4,445
S-PLIF
Frame=Vanilla
2026.01
4,271
ReLU
Frame=ANN
2026.01
4,050
PLIF
Frame=Vanilla
2026.01
4,003
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