417 search results - page 47 / 84 » The Dynamics of Reinforcement Learning in Cooperative Multia... |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
NIPS
2003
13 years 9 months ago
2003
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
IBERAMIA
2010
Springer
13 years 6 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
NIPS
2004
13 years 9 months ago
2004
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Most of the proposed approaches in automatic service selection assume the existence of a common ontology among communicating agents. However, this assumption becomes difficult to...