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Joseph Campbell — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Joseph Campbell
10
papers ·
70
citations ·
29
h-index
Purdue University West Lafayette
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
2023 · 7 citations
Explainable Action Advising for Multi-Agent Reinforcement Learning
2022 · 3 citations
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
2023 · 2 citations
Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
2025 · 1 citations
Multi-Agent Transfer Learning via Temporal Contrastive Learning
2024 · 1 citations
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
2024 · 1 citations
Introspective Action Advising for Interpretable Transfer Learning
2023
Top co-authors
Katia Sycara
· 7
Simon Stepputtis
· 7
Behdad Chalaki
· 2
Dana Hughes
· 2
Ehsan Moradi Pari
· 2
Muhan Lin
· 2
Shuyang Shi
· 2
Vaishnav Tadiparthi
· 2
Yue Guo
· 2
Yue Guo
· 2
Fei Fang
· 1
Fiona Xie
· 1
Topics
Multi-Agent
RLHF & Alignment
Game AI
Exploration
Meta-RL
Safe RL
Model-Based RL