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Julia Kim — most-cited papers & profile · Reinforcement Learning
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Julia Kim
7
papers ·
9
citations ·
0
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Most-cited papers
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
2022 · 5 citations
Neuro-Symbolic World Models for Adapting to Open World Novelty
2023 · 3 citations
The Role of Exploration for Task Transfer in Reinforcement Learning
2022 · 1 citations
Novelty Detection in Reinforcement Learning with World Models
2023
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning
2024
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling
2024
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
2024
Top co-authors
Jonathan Balloch
· 5
Mark Riedl
· 5
Robert Wright
· 3
Zhiyu Lin
· 3
Aarun Srinivas
· 2
Geigh Zollicoffer
· 2
Kenneth Eaton
· 2
Mark O. Riedl
· 2
Mustafa Hussain
· 2
Rishav Bhagat
· 2
Xiangyu Peng
· 2
and Jessica L Inman
· 1
Topics
Exploration
Meta-RL
Model-Based RL
Safe RL
Multi-Agent