Classification on Connect-4 (Loss)
0.2691Lossreference architecture
Evaluation Results
| Method | Links | |
|---|---|---|
| reference architectureArchitecture=32-22-4-20, Number of Parameters=3,7012022.04 | 0.2691 | |
| RL with Abs RewardArchitecture=30-22-12-12, Number of Parameters=3,7032022.04 | 0.2702 | |
| RENAArchitecture=30-18-10-32, Number of Parameters=3,7492022.04 | 0.2752 | |
| RL with Abs RewardArchitecture=26-18-20-26, Number of Parameters=3,7032022.04 | 0.2765 | |
| RENAArchitecture=26-26-18-8, Number of Parameters=3,5772022.04 | 0.2769 | |
| MNasNet (reward type 2)Architecture=28-16-10-52, Number of Parameters=3,7452022.04 | 0.2776 | |
| MNasNet (reward type 1)Architecture=28-12-32-14, Number of Parameters=3,6512022.04 | 0.2781 | |
| MNasNet (reward type 1)Architecture=24-18-16-44, Number of Parameters=3,6772022.04 | 0.2788 | |
| RL with rejection-based rewardArchitecture=20-30-24-22, Number of Parameters=3,6932022.04 | 0.2795 | |
| RENAArchitecture=24-26-20-16, Number of Parameters=3,6172022.04 | 0.2806 | |
| RL with Abs RewardArchitecture=26-20-18-26, Number of Parameters=3,7032022.04 | 0.2807 | |
| MNasNet (reward type 1)Architecture=22-32-16-22, Number of Parameters=3,5772022.04 | 0.2818 | |
| RL with rejection-based rewardArchitecture=28-10-12-56, Number of Parameters=3,7012022.04 | 0.2819 | |
| RL with rejection-based rewardArchitecture=20-32-14-48, Number of Parameters=3,7012022.04 | 0.2827 | |
| MNasNet (reward type 2)Architecture=20-12-44-24, Number of Parameters=3,6792022.04 | 0.2871 | |
| MNasNet (reward type 2)Architecture=14-40-28-20, Number of Parameters=3,5812022.04 | 0.2886 |