238 search results - page 36 / 48 » Value-Function Approximations for Partially Observable Marko... |
122
click to vote
GLOBECOM
2010
IEEE
14 years 9 months ago
2010
IEEE
In a cognitive radio network, the full-spectrum is usually divided into multiple channels. However, due to the hardware and energy constraints, a cognitive user (also called second...
ICML
2008
IEEE
16 years 17 days ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear t...
ECAI
2008
Springer
15 years 26 days ago
2008
Springer
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...
101
click to vote
NIPS
1996
15 years 1 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...