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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 2022Show all

2 papers · 1 filter

cs.LG2022★ 1 cited

The Role of Exploration for Task Transfer in Reinforcement Learning

Jonathan C Balloch, Julia Kim, and Jessica L Inman +1

The exploration--exploitation trade-off in reinforcement learning (RL) is a well-known and much-studied problem that balances greedy action selection with novel experience, and the…

cs.AI2022★ 5 cited

NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty

Jonathan Balloch, Zhiyu Lin, Mustafa Hussain +5

A robust body of reinforcement learning techniques have been developed to solve complex sequential decision making problems. However, these methods assume that train and evaluation…

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