Reinforcement Learning on Block Sliding
106Retention (Task 1)Multi-task
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Multi-task2020.09 | 106 | 131 | 103 | 113 | 113 | |
| Multi-taskTarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | 106 | 131 | 103 | 113 | 113 | |
| HyperCRL2020.09 | 82 | 98 | 109 | 95 | 96 | |
| HyperCRLTarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | 82 | 98 | 109 | 95 | 96 | |
| Coreset2020.09 | 58 | 97 | 65 | 73 | 73 | |
| CoresetTarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | 58 | 97 | 65 | 73 | 73 | |
| SI2020.09 | 37 | 92 | 68 | 103 | 75 | |
| SITarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | 37 | 92 | 68 | 103 | 75 | |
| Finetuning2020.09 | -2 | -12 | -1 | -7 | -6 | |
| FinetuningTarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | -2 | -12 | -1 | -7 | -6 | |
| EWC2020.09 | -5 | 14 | 13 | 39 | 15 | |
| EWCTarget Network=MLP (2x200), Hypernetwork=MLP (2x50)2020.09 | -5 | 14 | 13 | 39 | 15 |