1 citations · 1 across the 4 of their papers we have counts for
4 papers
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang +4
Large multimodal language models (MLLMs) have revolutionized natural language processing and visual understanding, but often contain outdated or inaccurate information. Current mul…
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao, Yunduan Cui, Huiyun Li +1
In this paper, a novel Multi-agent Reinforcement Learning (MARL) approach, Multi-Agent Continuous Dynamic Policy Gradient (MACDPP) was proposed to tackle the issues of limited capa…
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
Wenjun Huang, Yunduan Cui, Huiyun Li +1
This paper addresses the prediction stability, prediction accuracy and control capability of the current probabilistic model-based reinforcement learning (MBRL) built on neural net…
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma, Xiaopeng Hong, Beinan Liu +3
Although data-free incremental learning methods are memory-friendly, accurately estimating and counteracting representation shifts is challenging in the absence of historical data.…