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평가 지표
Human World Record Breakthrough
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Human World Record Breakthrough | Paper Title | Repository |
|---|---|---|---|
| Go-Explore | 17 | Go-Explore: a New Approach for Hard-Exploration Problems | |
| Agent57 | 18 | Agent57: Outperforming the Atari Human Benchmark | |
| GDI-H3 | 22 | Generalized Data Distribution Iteration | - |
| R2D2 | 15 | Recurrent Experience Replay in Distributed Reinforcement Learning | - |
| Rainbow | 4 | Rainbow: Combining Improvements in Deep Reinforcement Learning | |
| NGU | 8 | Never Give Up: Learning Directed Exploration Strategies | |
| Muesli | 5 | Muesli: Combining Improvements in Policy Optimization | |
| GDI-I3 | 17 | Generalized Data Distribution Iteration | - |
| Muzero | 19 | Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model |
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