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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…