1234 search results - page 30 / 247 » Multi-criteria Reinforcement Learning |
131
Voted
IJCAI
2007
15 years 5 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
132
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BC
1998
15 years 3 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 ...
176
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JMLR
2012
13 years 6 months 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...
158
Voted
ICCBR
2009
Springer
15 years 10 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 ...
145
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CORR
2002
Springer
15 years 3 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...