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dunnolab
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Vintix

Reinforcement Learning
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in-context-reinforcement-learning
in-context-learning
metaworld
mujoco
bi-dexhands
industrial-benchmark
Eval Results
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@@ -62,7 +62,7 @@ This is a multi-task action model via in-context reinforcement learning
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  | Setting | Description |
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  |---------------------------------|----------------------------------------------------------------|
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  | Parameters | 332M |
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- | Model Size | Layers: 20, Heads: 16, Embedding Size: 1024 |
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  | Sequence Length | 8192 |
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  | Training Data | MuJoCo, Meta-World, Bi-DexHands, Industrial Benchmark |
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  | Setting | Description |
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  |---------------------------------|----------------------------------------------------------------|
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  | Parameters | 332M |
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+ | Model Sizes | Layers: 20, Heads: 16, Embedding Size: 1024 |
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  | Sequence Length | 8192 |
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  | Training Data | MuJoCo, Meta-World, Bi-DexHands, Industrial Benchmark |
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