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Junge Zhang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Junge Zhang
14
papers ·
23
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
2021 · 2 citations
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
2022 · 2 citations
Transformer in Transformer as Backbone for Deep Reinforcement Learning
2022 · 2 citations
Coordinated Proximal Policy Optimization
2021 · 1 citations
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
2023 · 1 citations
Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
2024 · 1 citations
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning
2020
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
2021
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning
2023
Top co-authors
Kaiqi Huang
· 4
Qiyue Yin
· 4
Hangyu Mao
· 2
Hao Chen
· 2
Wenzhen Huang
· 2
Yiqun Chen
· 2
Zhen Xiao
· 2
and Jiangjin Yin
· 1
Bin Liang
· 1
Bin Zhang
· 1
Chao Yu
· 1
Deheng Ye
· 1
Topics
Model-Based RL
Game AI
Value-Based
Multi-Agent
Offline RL
Safe RL
Exploration
Meta-RL
Policy Gradient
RLHF & Alignment