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» Brain Inspired Reinforcement Learning
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HIS
2008
13 years 9 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
IJMMS
2007
195views more  IJMMS 2007»
13 years 7 months ago
Berlin Brain-Computer Interface - The HCI communication channel for discovery
The investigation of innovative Human–Computer Interfaces (HCI) provides a challenge for future interaction research and development. Brain–Computer Interfaces (BCIs) exploit ...
Roman Krepki, Gabriel Curio, Benjamin Blankertz, K...
BC
1998
109views more  BC 1998»
13 years 7 months ago
Learning and stabilization of altruistic behaviors in multi-agent systems by reciprocity
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
Javier Zamora, José del R. Millán, A...
JMLR
2010
119views more  JMLR 2010»
13 years 2 months ago
A Convergent Online Single Time Scale Actor Critic Algorithm
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Dotan Di Castro, Ron Meir
WIOPT
2005
IEEE
14 years 1 months ago
NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routing ALgorithm (NEURAL). NEURAL has been designed taking into account the learning...
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu...