Reinforcement Learning on Atari 2600 Gravitar ALE (test)
6,712ScoreSND-VIC
Evaluation Results
| Method | Links | |
|---|---|---|
| SND-VIC2023.02 | 6,712 | |
| RND2023.02 | 5,600 | |
| SND-STD2023.02 | 4,643 | |
| RND2018.10 | 3,906 | |
| PPO2018.10 | 3,426 | |
| Dynamics2018.10 | 3,371 | |
| Avg. Human2018.10 | 3,351 | |
| A2C+SILSelf-Imitation Learning=true2018.06 | 2,722 | |
| Baseline2023.02 | 2,611 | |
| SND-V2023.02 | 2,469 | |
| SOTAcitation=[1]2018.10 | 2,209 | |
| Reactor-PixelCNNExploration=PixelCNN2018.06 | 1,600 | |
| DQN-PixelCNNTraining frames=150M, Seeds=32017.03 | 859.1 | |
| DQN-CTSTraining frames=150M, Seeds=32017.03 | 498.3 | |
| TRPO-AE-SimHashExploration=SimHash2018.06 | 482 | |
| DQNTraining frames=150M, Seeds=32017.03 | 473 | |
| A3C-CTSExploration=CTS2018.06 | 239 | |
| A3C-CTSTraining frames=150M, Seeds=32017.03 | 238.68 | |
| Prior. DuelTraining frames=150M, Seeds=32017.03 | 238 |