Robuta

https://openreview.net/forum?id=3P7c4EcANr Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity | OpenReview We study the problem of online sequential decision-making given auxiliary demonstrations from experts who made their decisions based on unobserved contextual... sequential decision makingunobserved heterogeneityexpertdemonstrationsopenreview https://deepai.org/publication/mpc-inspired-neural-network-policies-for-sequential-decision-making MPC-Inspired Neural Network Policies for Sequential Decision Making | DeepAI Feb 15, 2018 - 02/15/18 - In this paper we investigate the use of MPC-inspired neural network policies for sequential decision making. We introduce an exten... sequential decision makingneural networkmpcinspiredpolicies https://ideas.repec.org/p/ags/aare13/152199.html Sequential decision-making: Theory and evidence for irrigator water allocation trade participation... Downloadable! Greater understanding of irrigator water trade decision-making processes provides insight into the efficient reallocation of water resources... sequential decision making https://openreview.net/forum?id=Df227Ih8tqY Control-theoretic Evaluation of Policy in Sequential Decision Making via Data-driven Differential... We propose a novel approach to the evaluation of agent policies in uncertain sequential decision making problems. We study a model-based two-player... sequential decision making https://openreview.net/forum?id=ilSesSBQDh Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and... Recently developed multimodal pretrained models can encode rich world knowledge expressed in multiple modalities, such as text and images. However, the outputs... sequential decision makingpretrained modelsmultimodalverifiable https://openreview.net/forum?id=JB3H6LS1PY Learning to Solve New sequential decision-making Tasks with In-Context Learning | OpenReview Training autonomous agents that can generalize to new tasks from a small number of demonstrations is a long-standing problem in machine learning. Recently,... sequential decision making