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researcher

Julia M. Kim

7 papers hereh-index 345 citations9 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI5
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedNovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty

5 citations · 9 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.AI2023

Novelty Detection in Reinforcement Learning with World Models

Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch +4

Reinforcement learning (RL) using world models has found significant recent successes. However, when a sudden change to world mechanics or properties occurs then agent performance…

cs.AI2023★ 3 cited

Neuro-Symbolic World Models for Adapting to Open World Novelty

Jonathan Balloch, Zhiyu Lin, Robert Wright +5

Open-world novelty--a sudden change in the mechanics or properties of an environment--is a common occurrence in the real world. Novelty adaptation is an agent's ability to improve…

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