The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space

Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao
2/3/2026

No official code found. Best implementation: bluecontra/PPTB (1 star, last commit 2024-10-31).

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bluecontra/PPTBCommunity65%

The code implementation of Policy Path Trimming and Boosting (PPTB) for NeurIPS 2024 paper "The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space"

10Oct 31, 20241 years ago

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Cite this paper

@article{tang2026ladder,
  title  = {The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space},
  author = {Hongyao Tang and Min Zhang and Chen Chen and Jianye Hao},
  year   = {2026},
  doi    = {10.52202/079017-2269},
  url    = {https://doi.org/10.52202/079017-2269},
  journal = {NEURIPS 2024 2024}
}

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