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researcher

Maozu Guo

9 papers hereh-index 334.8k citations233 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author8

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedComputably Continuous Reinforcement-Learning Objectives are PAC-learnable

15 citations · 26 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.LG2023★ 15 cited

Computably Continuous Reinforcement-Learning Objectives are PAC-learnable

Cambridge Yang, Michael Littman, Michael Carbin

In reinforcement learning, the classic objectives of maximizing discounted and finite-horizon cumulative rewards are PAC-learnable: There are algorithms that learn a near-optimal p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.