1236 search results - page 36 / 248 » Opposition-Based Reinforcement Learning |
BC
1998
13 years 9 months ago
1998
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
ATAL
2009
Springer
13 years 7 months ago
2009
Springer
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
JMLR
2012
12 years 9 days ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
ICCBR
2009
Springer
14 years 4 months ago
2009
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
CORR
2002
Springer
13 years 9 months ago
2002
Springer
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...