activity
20192025
most citedBoundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning

29 citations · 76 across the 28 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.AI2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Junjie Sheng, Zixiao Huang, Chuyun Shen +5

The formidable capacity for zero- or few-shot decision-making in language agents encourages us to pose a compelling question: Can language agents be alternatives to PPO agents in t…

cs.AI2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Junjie Sheng, Wenhao Li, Bo Jin +3

Over-generalization is a thorny issue in cognitive science, where people may become overly cautious due to past experiences. Agents in multi-agent reinforcement learning (MARL) als…

cs.LG2023★ 5 cited

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Wenhao Li, Dan Qiao, Baoxiang Wang +3

The difficulty of appropriately assigning credit is particularly heightened in cooperative MARL with sparse reward, due to the concurrent time and structural scales involved. Autom…

cs.MA2023

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Yun Hua, Shang Gao, Wenhao Li +5

In multi-agent reinforcement learning, each agent acts to maximize its individual accumulated rewards. Nevertheless, individual accumulated rewards could not fully reflect how othe…

cs.CV2023★ 29 cited

Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning

Chaofan Ma, Qisen Xu, Xiangfeng Wang +4

Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative…

cs.CY2023★ 3 cited

Learning Roles with Emergent Social Value Orientations

Wenhao Li, Xiangfeng Wang, Bo Jin +2

Social dilemmas can be considered situations where individual rationality leads to collective irrationality. The multi-agent reinforcement learning community has leveraged ideas fr…