Graph Reinforcement Learning on EUPHORIA Mixed Brick Dataset
185REUPHORIA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EUPHORIA2026.05 | 185 | 18 | |
| DASTGCN-SNN+DDPGRL Algorithm=DDPG, Graph Backbone=DASTGCN-SNN2026.05 | 170 | 20 | |
| MA-GCNGraph Backbone=GCN, Framework=MA2026.05 | 167 | 28 | |
| GAT-DQNRL Algorithm=DQN, Graph Backbone=GAT2026.05 | 165 | 24 | |
| DDPG-GATRL Algorithm=DDPG, Graph Backbone=GAT2026.05 | 162 | 23 | |
| DDPG-GNNRL Algorithm=DDPG, Graph Backbone=GNN2026.05 | 160 | 25 | |
| DDPG-PTDNetRL Algorithm=DDPG, Graph Backbone=PTDNet2026.05 | 159 | 22 | |
| DDPG-Pro-GNNRL Algorithm=DDPG, Graph Backbone=Pro-GNN2026.05 | 158 | 27 | |
| GNN-UCBGraph Backbone=GNN, RL Algorithm=UCB2026.05 | 155 | 23 | |
| A2C-GATRL Algorithm=A2C, Graph Backbone=GAT2026.05 | 152 | 42 | |
| A2C-GNNRL Algorithm=A2C, Graph Backbone=GNN2026.05 | 150 | 39 | |
| A2C-PTDNetRL Algorithm=A2C, Graph Backbone=PTDNet2026.05 | 149 | 44 | |
| A2C-Pro-GNNRL Algorithm=A2C, Graph Backbone=Pro-GNN2026.05 | 148 | 51 |