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Kun Kuang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Kun Kuang
26
papers ·
95
citations ·
28
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
2023 · 4 citations
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
2022 · 1 citations
UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models
2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
2024
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
2021
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
2022
Top co-authors
Furui Liu
· 3
Baoxiang Wang
· 2
Jiahui Li
· 2
Qi Tian
· 2
Bo Jiang
· 1
Changjie Fan
· 1
Chao Wu
· 1
Cheng Yang
· 1
Dong Xing
· 1
Fei Wu
· 1
Fengda Zhang
· 1
Jiahui Li
· 1
Topics
Multi-Agent
Model-Based RL
RLHF & Alignment
Value-Based
Game AI
Policy Gradient
Meta-RL
Offline RL