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- 1Computation complexity
- 1Data efficiency
- 1Gradient-descent
- 1Linear Dyna
- 1Recursive least-squares
- 1Reinforcement Learning
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2011
Technical report TR11-04. World model is very important for model-based reinforcement learning. For example, a model is frequently used in Dyna: in learning steps to select actions and in planning steps to project sampled states or features. In this paper we propose least-squares Dyna (LS-Dyna)...
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