“Our premise in this report is that research on foundation models and interactive decision making can be mutually beneficial if considered jointly. On one hand, adaptation of foundation models to tasks that involve external entities can benefit from incorporating feedback interactively and performing lo...
∇θJ(πθ)=Eτ∼pπθ(τ)[∑t=0Hγt∇θlogπθ(at∣st)Qπ(st,at)] 我认为用这样做是为了让策略输出和值输出之间能够吻合 Actor-Critic综合了Policy-based方法和Value-based方法 Q:如何理解公式(7) a0:T=argmaxa0:TJ(s0,a0:T)=argmaxa0:T∑t=0Tr(st,at) s.t. st+...
Research at the intersection of foundation models and decision making holds tremendous promise for creating powerful new systems that can interact effectively across a diverse range of applications such as dialogue, autonomous driving, healthcare, education, and robotics. In this manuscript, we examine ...
Foundation Modelsfor decision makingFoundation modelstrained on massive datasets were shown to exhibit impressive abilities along with fast adaptation to a wide range of downstream tasks in vision [Yuan et al., 2021], language [Devlin et al., 2019, Brown et al., 2020] and cross-modalities [Ra...
机器人决策中的基础模型应用(Foundation Models in Decision-Making for Robotics):这部分探讨了如何将基础模型集成到机器人系统的决策过程中。首先讨论了使用语言条件模仿学习和语言辅助强化学习进行机器人策略学习的方法。然后,讨论了如何设计一个基于语言的价值函数,用于规划目的。接下来,介绍了使用基础模型进行机器人任务...
This difference ultimately leads to different test statistics that are used to solve a decision-making problem. Closed-form expressions for the EVS-based tolerance limits are derived for a large class of models representing complex systems. Problems, both analytical and using actual reactor operating ...
arXiv:2303. 15715v1 cs.CY 28 Mar 2023FOUNDATION MODELS AND FAIR USEA PREPRINTPeter HendersonXuechen LiDan Jurafsky, Tats
making it the ideal choice for processing AI foundation models. When the read/write ratio is 6:4, HDD storage provides between 50,000 to 100,000 IOPS, whereas all-flash storage delivers over 1 million IOPS. The tenfold boosts in data read/write performance reduces the idle time for computi...
The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across...
Large models need to process and understand the complex data for effective O&M decision-making. The difference between generalized language models, large models, and more context-specific models, and how we apply them in real-world situations, is also a challenge. Large models need to solve...