Lane-Keeping Action Classification on OpenAI CarRacing
80.86AccuracymTAN
Evaluation Results
| Method | Links | |
|---|---|---|
| mTAN2025.12 | 80.86 | |
| NAC-PW2025.12 | 80.72 | |
| NAC-Steady2025.12 | 80.62 | |
| NAC-Euler2025.12 | 80.61 | |
| LSTM2025.12 | 80.6 | |
| GRU2025.12 | 80.6 | |
| NAC-ϕtanh2025.12 | 80.6 | |
| CfC2025.12 | 80.59 | |
| NAC-2k2025.12 | 80.59 | |
| NAC-Exact/05s/8k2025.12 | 80.59 | |
| NAC-ϕlinear2025.12 | 80.58 | |
| CTA2025.12 | 80.54 | |
| ODEFormer2025.12 | 80.54 | |
| NAC-09sFC2025.12 | 80.51 | |
| NAC-FC2025.12 | 80.49 | |
| ContiFormer2025.12 | 80.47 | |
| NAC-02s2025.12 | 80.47 | |
| NAC-09s2025.12 | 80.43 | |
| Attention2025.12 | 80.4 | |
| NAC-32k2025.12 | 80.38 | |
| PhasedLSTM2025.12 | 80.35 | |
| S42025.12 | 80.32 | |
| GRU-ODE2025.12 | 80.29 | |
| DeepState2025.12 | 80.25 | |
| CT-RNN2025.12 | 80.21 | |
| NAC-02sFC2025.12 | 80.17 | |
| Linear Attention2025.12 | 80.16 | |
| mmRNN2025.12 | 80.13 | |
| Performer2025.12 | 80.11 | |
| MHA2025.12 | 79.99 | |
| RNN2025.12 | 78.9 | |
| LTC2025.12 | 76.37 | |
| NAC-05sFC2025.12 | 75.99 |