1236 search results - page 1 / 248 » Opposition-Based Reinforcement Learning |
JACIII
2006
13 years 4 months ago
2006
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
CIMCA
2005
IEEE
13 years 10 months ago
2005
IEEE
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
TEC
2008
13 years 4 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
SAB
2010
Springer
13 years 2 months ago
2010
Springer
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
CORR
1998
Springer
13 years 4 months ago
1998
Springer
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...