Search Results - DECISION MAKING

1

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations

by Amato, Christopher, Vian, John, Omidshafiei, Shayegan, Liu, Shih-Yuan, Everett, Michael F, Lopez, Brett Thomas, Liu, Miao, How, Jonathan P
Published 2018

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2

Learning a tree-structured ising model in order to make predictions

by Bresler, Guy, Karzand, Mina
Published 2021

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3

Decentralized Control of Partially Observable Markov Decision Processes Using Belief Space Macro-Actions

by Omidshafiei, Shayegan, Agha-mohammad, Amato, Christopher, How, Jonathan P.
Published 2015

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4

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery

by Geramifard, Alborz, Chowdhary, Girish, How, Jonathan P., Ure, Nazim Kemal
Published 2013

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5

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs

by Agha-mohammad, Amato, Christopher, Vian, John, Omidshafiei, Shayegan, Liu, Shih-Yuan, How, Jonathan P
Published 2016

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6

Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach

by Haji Hosseinloo, Ashkan, Ryzhov, Alexander, Bischi, Aldo, Ouerdane, Henni, Turitsyn, Konstantin, Dahleh, Munther A
Published 2020

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7

On Learning With Finite Memory

by Drakopoulos, Kimon, Tsitsiklis, John N., Ozdaglar, Asuman E.
Published 2014

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8

Optimal output feedback architecture for triangular LQG problems

by Tanaka, Takashi, Parrilo, Pablo A.
Published 2016

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9

Optimality and performance limitations of analog to digital converters

by Osqui, Mitra, Megretski, Alexandre, Roozbehani, Mardavij
Published 2012

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10

Delay-Predictability Trade-offs in Reaching a Secret Goal

by Tsitsiklis, John N, Xu, Kuang
Published 2021

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11

Complexity of Bayesian Belief Exchange over a Network

by Mossel, Elchanan, Rahimian, Mohammad Amin, Jadbabaie-Moghadam, Ali
Published 2018

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12

A contraction approach to input tracking via high gain feedback

by Hamadeh, Abdullah, Sontag, Eduardo D, Del Vecchio, Domitilla
Published 2018

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13

Planning for decentralized control of multiple robots under uncertainty

by Amato, Christopher, Cruz, Gabriel, Maynor, Christopher A., How, Jonathan P., Kaelbling, Leslie P., Konidaris, George D.
Published 2015

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14

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions

by Amato, Christopher, Liu, Miao, Sivakumar, Kavinayan P, Omidshafiei, Shayegan, How, Jonathan P
Published 2018

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15

Improving the efficiency of Bayesian inverse reinforcement learning

by How, Jonathan P., Michini, Bernard J.
Published 2013

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16

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams

by Ure, N. Kemal, Chowdhary, Girish, Chen, Yu Fan, How, Jonathan P., Vian, John
Published 2016

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17

Bayesian Learning Without Recall

by Jadbabaie, Ali, Rahimian, Mohammad Amin, Jadbabaie-Moghadam, Ali
Published 2018

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18

Channels that die

by Goyal, Vivek K., Mitter, Sanjoy K., Varshney, Lav Raj
Published 2010

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19

Collaborative Filtering with Low Regret

by Bresler, Guy, Shah, Devavrat, Voloch, Luis Filipe
Published 2021

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20

Game-theoretic learning algorithm for a spatial coverage problem

by Savla, Ketan, Frazzoli, Emilio
Published 2010

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