This content originally appeared on HackerNoon and was authored by Photosynthesis Technology: It's not just for plants!
Table of Links
Appendix
3.2 Policy
3.2.1 Forward Process
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\ 3.2.2 Reverse Mutation Paths
\ Since we have access to the ground-truth mutations, we can generate targets to train a neural network by simply reversing the sampled trajectory through the forward process Markov-Chain, z0 → z1 → . . .. At first glance, this may seem a reasonable choice. However, training to simply invert the last mutation can potentially create a much noisier signal for the neural network.
\ Consider the case where, within a much larger syntax tree, a color was mutated as,
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:::info Authors:
(1) Shreyas Kapur, University of California, Berkeley (srkp@cs.berkeley.edu);
(2) Erik Jenner, University of California, Berkeley (jenner@cs.berkeley.edu);
(3) Stuart Russell, University of California, Berkeley (russell@cs.berkeley.edu).
:::
:::info This paper is available on arxiv under CC BY-SA 4.0 DEED license.
:::
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This content originally appeared on HackerNoon and was authored by Photosynthesis Technology: It's not just for plants!
Photosynthesis Technology: It's not just for plants! | Sciencx (2025-09-24T15:30:03+00:00) Inverting the Observation Model: How to Generate Code from Any Output. Retrieved from https://www.scien.cx/2025/09/24/inverting-the-observation-model-how-to-generate-code-from-any-output/
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