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AAMAS
2007
Springer
13 years 6 months ago
Shaping multi-agent systems with gradient reinforcement learning
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Olivier Buffet, Alain Dutech, François Char...
CI
2005
106views more  CI 2005»
13 years 6 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
JUCS
2010
150views more  JUCS 2010»
13 years 4 months ago
Situation-Aware Community Computing Model for Developing Dynamic Ubiquitous Computing Systems
: For many complex and dynamic ubiquitous services, context-aware cooperation can be a solution. However, the way is not yet clear to make individual objects cooperate with each ot...
Youna Jung, Minsoo Kim
ESAW
2004
Springer
13 years 11 months ago
Controlled Experimentation with Agents - Models and Implementations
The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...
Mathias Röhl, Adelinde Uhrmacher
ATAL
2009
Springer
14 years 26 days 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...