Towards Feature Selection In Actor-Critic Algorithms
Choosing features for the critic in actor-critic algorithms with function approximation is known to be a challenge. Too few critic features can lead to degeneracy of the actor gradient, and too many features may lead to slower convergence of the learner. In this paper, we show that a well-studied cl...
| Main Authors: | , , |
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| Other Authors: | |
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2007
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/39427 |