Results 101 to 110 of about 13,931 (229)

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version [PDF]

open access: green, 2015
Athirai A. Irissappane   +2 more
openalex   +1 more source

Recursive Small-Step Multi-Agent A* for Dec-POMDPs [PDF]

open access: gold, 2023
W.J. Koops   +3 more
openalex   +1 more source

Décision séquentielle pour la perception active : p-POMDP versus POMDP

open access: yes, 2013
Cet article propose une étude du compromis entre la prise d’information et la décision dans un cadre applicatif qui se rapporte à une mission d’exploration, où l’agent interagit avec son environnement pour identifier l’état caché du système. Dans ce problème de décision séquentielle pour la perception, il est possible de faire reposer la fonction de ...
Ponzoni Carvalho Chanel, Caroline   +2 more
openaire   +1 more source

Explanation through Reward Model Reconciliation using POMDP Tree Search [PDF]

open access: green, 2023
Benjamin D. Kraske   +3 more
openalex   +1 more source

MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs

open access: yes, 2012
We present multi-agent A* (MAA*), the first complete and optimal heuristic search algorithm for solving decentralized partially-observable Markov decision problems (DEC-POMDPs) with finite horizon.
Charpillet, Francois   +2 more
core  

When to Localize?: A POMDP Approach

open access: yes2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR)
Robots often localize to lower navigational errors and facilitate downstream, high-level tasks. However, a robot may want to selectively localize when localization is costly (such as with resource-constrained robots) or inefficient (for example, submersibles that need to surface), especially when navigating in environments with variable numbers of ...
Williams, Troi   +2 more
openaire   +2 more sources

Deep Variational Reinforcement Learning for POMDPs

open access: yes, 2018
Many real-world sequential decision making problems are partially observable by nature, and the environment model is typically unknown. Consequently, there is great need for reinforcement learning methods that can tackle such problems given only a stream of incomplete and noisy observations.
Igl, M   +4 more
openaire   +3 more sources

Cognitive radio auto-adaptive sensing algorithm based on POMDP

open access: yesTongxin xuebao, 2013
In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond ...
Rui-chen XU, Ting JIANG
doaj   +2 more sources

A PAC RL Algorithm for Episodic POMDPs [PDF]

open access: green, 2016
Zhaohan Daniel Guo   +2 more
openalex   +1 more source

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