首页|Shanghai University Researcher Details Findings in Cyborg and Bionic Systems (Exploring into the Unseen: Enhancing Language- Conditioned Policy Generalization with Behavioral Information)
Shanghai University Researcher Details Findings in Cyborg and Bionic Systems (Exploring into the Unseen: Enhancing Language- Conditioned Policy Generalization with Behavioral Information)
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NETL
NSTL
Amer Assoc Advancement Science
Current study results on cyborg and bionic systems have been published. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Generalizing policies learned by agents in known environments to unseen domains is an essential challenge in advancing the development of reinforcement learning." The news journalists obtained a quote from the research from Shanghai University: "Lately, languageconditioned policies have underscored the pivotal role of linguistic information in the context of crossenvironments. Integrating both environmental and textual information into the observation space enables agents to accomplish similar tasks across different scenarios. However, for entities with varying forms of motion but the same name present in observations (e.g., immovable mage and fleeing mage), existing methods are unable to learn the motion information the entities possess well. They face the problem of ambiguity caused by motion. In order to tackle this challenge, we propose the entity mapper with multimodal attention based on behavior prediction (EMMA-BBP) framework, comprising modules for predicting motion behavior and text matching. The behavioral prediction module is used to determine the motion information of the entities present in the environment to eliminate the semantic ambiguity of the motion information."
Shanghai UniversityShanghaiPeople's Republic of ChinaAsiaCyborg and Bionic SystemsTechnology
NETL
NSTL
Amer Assoc Advancement Science
