Control With Prametrised Actions On Platform
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このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Return | Paper Title | Repository |
|---|---|---|---|
| Hybrid SAC | 0.981 | Discrete and Continuous Action Representation for Practical RL in Video Games | - |
| MP-DQN | 0.987 | Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces | - |
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