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ICML
2010
IEEE
13 years 4 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
AIPS
2006
13 years 7 months ago
On Some Tractable Cases of Logical Filtering
Filtering denotes any method whereby an agent updates its belief state--its knowledge of the state of the world--from a sequence of actions and observations. In logical filtering,...
T. K. Satish Kumar, Stuart J. Russell
ATAL
2003
Springer
13 years 11 months ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
DGO
2011
247views Education» more  DGO 2011»
12 years 5 months ago
Open government and e-government: democratic challenges from a public value perspective
We consider open government (OG) within the context of egovernment and its broader implications for the future of public administration. We argue that the current US Administratio...
Teresa M. Harrison, Santiago Guerrero, G. Brian Bu...
SIGECOM
2006
ACM
135views ECommerce» more  SIGECOM 2006»
14 years 23 hour ago
Finding equilibria in large sequential games of imperfect information
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
Andrew Gilpin, Tuomas Sandholm