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- sparsities.png → eaudeqn.png +2 -2
README.md
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@@ -31,7 +31,7 @@ The [evaluate.ipynb](./evaluate.ipynb) notebook contains a minimal example to ev
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The training code is available soon ⏳
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### Model sparsity & performances
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| <div style="width:300px; font-size: 30px; font-family:Serif; font-name:Times New Roman" > **EauDeDQN** and **EauDeCQL** achieve high sparsity while keeping performances high. <br> Published at [RLDM](https://arxiv.org/pdf/2503.01437)✨ </br> <div style="font-size: 16px"> <details> <summary id=games>List of Atari games</summary> *BeamRider, MsPacman, Qbert, Pong, Enduro, SpaceInvaders, Assault, CrazyClimber, Boxing, VideoPinball.* </details> </div> </div> | <img src="
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The episodic returns and lenghts are available in the __evaluations__ folder 🔬
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The training code is available soon ⏳
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### Model sparsity & performances
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| <div style="width:300px; font-size: 30px; font-family:Serif; font-name:Times New Roman" > **EauDeDQN** and **EauDeCQL** achieve high sparsity while keeping performances high. <br> Published at [RLDM](https://arxiv.org/pdf/2503.01437)✨ </br> <div style="font-size: 16px"> <details> <summary id=games>List of Atari games</summary> *BeamRider, MsPacman, Qbert, Pong, Enduro, SpaceInvaders, Assault, CrazyClimber, Boxing, VideoPinball.* </details> </div> </div> | <img src="eaudeqn.png" alt="drawing" width="600px"/> |
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The episodic returns and lenghts are available in the __evaluations__ folder 🔬
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sparsities.png → eaudeqn.png
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