101 citations · 101 across the 6 of their papers we have counts for
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cs.LG2023
LDM: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
Xingjin Wang, Linjing Li, Daniel Zeng
With the rapid development of large language models (LLMs), it is highly demanded that LLMs can be adopted to make decisions to enable the artificial general intelligence. Most app…
cs.LG2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Haorui Li, Jiaqi Liang, Linjing Li +1
Hierarchical reinforcement learning composites subpolicies in different hierarchies to accomplish complex tasks.Automated subpolicies discovery, which does not depend on domain kno…
cs.LG2019
Spread-gram: A spreading-activation schema of network structural learning
Jie Bai, Linjing Li, Daniel Zeng
Network representation learning has exploded recently. However, existing studies usually reconstruct networks as sequences or matrices, which may cause information bias or sparsity…