The algorithm can also provide a path to estimating the hidden state of the POMDP
. The defender's game tree details all the possible paths and action sequences.
Geffner, "Goal recognition over POMDPs
: inferring the intention of a POMDP
agent," in Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI '11), pp.
Another approach available for handling a POMDP
in a model-free manner is to treat observations as states, and to map those directly to actions .
(i) A new selective sensing and access strategy of CRSN based on POMDP
theory is proposed, in which at beginning of each slot, an SU selects some channels for wideband spectrum sensing and accesses all of the channels via mixed access strategy.
"Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP
framework", Selected Areas in Communications, IEEE Journal on 25.3 (2007): 589-600.
DPA model consists of three objects: Partially Observable Markov Decision Process (POMDP
), Finite state Controller (FSC) and Cross Product Markov Decision Process (CP MDP).
However, despite the work of Papadimitriou and Tsitsiklis  and a few others, there were many variants of POMDP
problems for which it had not been proved that finding tractable exact solutions or provably good approximations is hard.
The corresponding throughput maximization problems are formulated as partially observable Markov decision processes (POMDP
) and cast into a restless
The real environment in which agents are is generally an unknown environment where there are partially observable hidden states, as the large partially observable Markov decision processes (POMDP
) and hidden Markov model (HMM) literatures attest.
Then, a generative partially observable Markov decision process (POMDP
) framework is built to model the autonomous driving decision-making process.
Se desarrolla asimismo un marco analitico para el acceso al espectro oportunista basado en la teoria del proceso de decision de Markov Parcialmente Observable (POMDP
Chen, "Covering number as a complexity measure for POMDP
planning and learning," in Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, pp.