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Jonathan Balloch — most-cited papers & profile · Reinforcement Learning
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Jonathan Balloch
5
papers ·
8
citations ·
6
h-index
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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
Novelty Detection in Reinforcement Learning with World Models
2023
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
Julia Kim
· 5
Mark Riedl
· 4
Robert Wright
· 3
Zhiyu Lin
· 3
Aarun Srinivas
· 2
Kenneth Eaton
· 2
Mustafa Hussain
· 2
Xiangyu Peng
· 2
Geigh Zollicoffer
· 1
Mark O. Riedl
· 1
Rishav Bhagat
· 1
Wei Zhou
· 1
Topics
Exploration
Model-Based RL
Meta-RL
Safe RL
Multi-Agent