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Peihong Yu — most-cited papers & profile · Reinforcement Learning
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overview
Peihong Yu
5
papers ·
2
citations ·
2
h-index
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Most-cited papers
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication
2025
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
2024
Enhancing Multi-Agent Coordination through Common Operating Picture Integration
2023
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
2024
Top co-authors
Pratap Tokekar
· 4
Alec Koppel
· 1
Amrit Bedi
· 1
Amrit Singh Bedi
· 1
Anas Barakat
· 1
Aswin Raghavan
· 1
Bhoram Lee
· 1
Carl Busart
· 1
Dinesh Manocha
· 1
James Zachary Hare
· 1
Manav Mishra
· 1
Manav Mishra
· 1
Topics
Multi-Agent
Exploration
Game AI
Model-Based RL
Policy Gradient
Safe RL