Commonsense Rl On Commonsense Rl
Métriques
Avg #Steps
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Avg #Steps | Paper Title | Repository |
|---|---|---|---|
| Human | 15.00 ± 3.29 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines | - |
| Optimal | 15.00 ± 2.00 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines | - |
| KG-A2C | 49.36 ± 7.50 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines | - |
| TNC-A2C | 43.27 ± 0.70 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines | - |
| LSTM-A2C | 49.21 ± 0.58 | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines | - |
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