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Free Random Projection in Reinforcement Learning by mrwangz is a document available to read on EtoBox.
What is Free Random Projection in Reinforcement Learning about?
The document introduces Free Random Projection (FRP), a novel input mapping method for in-context reinforcement learning (ICRL) that leverages free probability theory to create random orthogonal matrices, allowing for the emergence of hierarchical structures without requiring architectural changes. Empirical results demonstrate that FRP outperforms standard random projection methods in multi-environment benchmarks, improving generalization and adaptation in partially observable settings. Theoretical analyse
- Author
- mrwangz
- Language
- EN