Searching for "Recent Advances in Reinforcement Learning" – sorted by Relevance.
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Balaraman Ravindran
- on recent advances in reinforcement learning, May 2002, University of Massachusetts, Amherst, MA. Ravindran
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Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms
- , 1992)). Recent advances in reinforcement learning theory have shown that asynchronous value iteration
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Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
- across the state space so that the learning time scales much better. Despite recent advances
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Modeling Object Recognition as a Markov Decision Process
- that recent advances in reinforcement learning and function approximation [6, 7]make it possible to learn near
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Learning Grouping Strategies for 2D and 3D Object Recognition
- process model than is generally available for IU applications, we believe that recent advances
- Cited by 10 (2 self) – Add To MetaCart
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Learning Grouping Strategies for 2D and 3D Object Recognition
- advances in reinforcement learning [15, 17, 16, 18] and in function approximation (including
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