Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
Stefan Elfwing, Eiji Uchibe, Kenji Doya
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- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Mastering the game of Go without human knowledgeLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Dueling Network Architectures for Deep Reinforcement LearningLegacy edge — source detail unavailable
- Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
- Dueling Network Architectures for Deep Reinforcement Learning→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Mastering the game of Go with deep neural networks and tree search→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Mastering the game of Go with deep neural networks and tree search→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
- Mastering the game of Go without human knowledge→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
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Topics
| Neural Networks and Applications | Computer Science |
| Reinforcement Learning in Robotics | Computer Science |
| Adaptive Dynamic Programming Control | Computer Science |
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