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DSR: Reinforcement Learning with Dynamical Skill Refinement
Skill-based reinforcement learning (Skill-based RL) is an efficient paradigm for solving sparse-reward tasks by extracting skills from …
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Adaptive Pessimism via Target Q-Value for Offline Reinforcement Learning
Offline reinforcement learning (RL) methods learn from datasets without further environment interaction, facing errors due to …
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Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management
We apply heterogeneous-agent proximal policy optimization (HAPPO), a multi-agent deep reinforcement learning (MADRL) algorithm, to the …
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Efficient and Scalable Reinforcement Learning for Large-Scale Network Control
The primary challenge in the development of large-scale artificial intelligence (AI) systems lies in achieving scalable …
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Omnisafe: An infrastructure for accelerating safe reinforcement learning research
AI systems empowered by reinforcement learning (RL) algorithms harbor the immense potential to catalyze societal advancement, yet their …
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Carbon Trading Supply Chain Management Based On Constrained Deep Reinforcement Learning
The issue of carbon emissions is a critical global concern, and how to effectively reduce energy consumption and emissions is a …
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对齐的理论, 技术与评估 (Theories, Techniques, and Evaluation of AI Alignment)
人工智能对齐(AI Alignment)旨在使人工智能系统的行为与人类的意图和价值观相一致。随着人工智能系统的能力日益增强,对齐失败带来的风险也在不断增加。数百位人工智能专家和公众人物已经表达了对人工智能风险的担忧,他们认为乜减轻人工智能带来的灭绝风险应该成为全球优先考 …
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RoMAT: Role-Based Multi-agent Transformer for Generalizable Heterogeneous Cooperation
Multi-task multi-agent systems (MASs) are challenging to model because they involve heterogeneous agents with different behavior …
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The Application of Large Language Models in Medicine: A Scoping Review
This study systematically reviewed the application of large language models (LLMs) in medicine, analyzing 550 selected studies from a …
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Revolutionizing Healthcare: The Transformative Impact of LLMs in Medicine
Large language models (LLMs) are rapidly advancing medical AI, offering revolutionary changes in healthcare. These models excel in …
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