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ICML
2006
IEEE
14 years 8 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
AAAI
2007
13 years 10 months ago
Situated Conversational Agents
A Situated Conversational Agent (SCA) is an agent that engages in dialog about the context within which it is embedded. Situated dialog is characterized by its deep connection to ...
William Thompson
ATAL
2009
Springer
14 years 2 months ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...
AGENTS
1997
Springer
13 years 12 months ago
Integrating Communicative Action, Conversations and Decision Theory to Coordinate Agents
The coordination problem in multi-agent systems is the problem of managing dependencies between the activities of autonomous agents, in conditions of incomplete knowledge about th...
Mihai Barbuceanu, Mark S. Fox
JSAC
2008
95views more  JSAC 2008»
13 years 6 months ago
Cognitive Medium Access: Constraining Interference Based on Experimental Models
In this paper we design a cognitive radio that can coexist with multiple parallel WLAN channels while abiding by an interference constraint. The interaction between both systems is...
Stefan Geirhofer, Lang Tong, Brian M. Sadler