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» Probabilistic policy reuse in a reinforcement learning agent
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ATAL
2008
Springer
13 years 10 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
NIPS
1996
13 years 10 months ago
Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
In cellular telephone systems, an important problem is to dynamically allocate the communication resource channels so as to maximize service in a stochastic caller environment. Th...
Satinder P. Singh, Dimitri P. Bertsekas
JAIR
2008
119views more  JAIR 2008»
13 years 8 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
ICML
2003
IEEE
14 years 9 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars
ITNG
2007
IEEE
14 years 2 months ago
Input Fuzzy Modeling for the Recognition of Handwritten Hindi Numerals
This paper presents the recognition of Handwritten Hindi Numerals based on the modified exponential membership function fitted to the fuzzy sets derived from normalized distance f...
Madasu Hanmandlu, J. Grover, Vamsi Krishna Madasu,...