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Continuous Control On Deepmind Cheetah Run
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이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| DreamerV1 | 800 | - |
| SLAC | 700 | - |
| DrQ | 660 | Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels |
| PlaNet | 650 | 007: Democratically Finding The Cause of Packet Drops |
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