google-deepmind / google-deepmind/mctx

early stopping

Open
#102 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
2.7k
Forks
218
Avg merge
23h 43m
Merged PRs (30d)
1

Description

Hello, I would like to create a function for early stopping. I’ve observed that the number of simulation steps required varies for different functionalities during the search process. Therefore, I’m thinking of implementing a mechanism where, if step - best_reward_step > threshold, the search process will stop. How can I implement this function? Thank you.

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.