Searching for "Neural Q-learning." – sorted by Relevance.
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Neural Q-Learning
- …Neural Q-Learning Stephan ten Hagen Ben Krose Real World Computing Partnership, Novel Functions…
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Neural reinforcement learning for behaviour synthesis
- … of a research aimed at improving the Q-learning method through the use of artificial neural networks…
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Neural Reinforcement Learning For An Obstacle Avoidance Behavior
- … that increases the updating speed of the memory by the re-use of executed experiments. Neural Q-learning…
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Q-Learning for systems with continuous state and action spaces.
- … function approximators. In this paper we will propose Neural Q-learning as a continuous state-action space…
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An Hybrid Methodology for RL-based Behavior Coordination In a Target Following Mission with an AUV
- … and parameter selection, the algorithm demonstrated to converge. The neural Q_learning algorithm structure…
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High-Level Control Of Autonomous Robots Using A Behavior based Scheme And Reinforcement Learning
- … Learning (RL). A new continuous approach of the Q_learning algorithm, implemented with a multi-layer neural…
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Towards a Continuous Reinforcement Learning Module for Navigation in Video Games
- … actions Neural Q-learning One way to deal with continuous states and actions consists in using a Neural…
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Self-Learning Neural Control of a Mobile Robot
- … of neural Q-Learning [Wat89]. In a first attempt, the controller learns to move an ideal model of the mobile…
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Continuous State Space Q-Learning for Control of Nonlinear Systems
- ….8 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 5 Neural Q-Learning…
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A human-robot collaborative learning system using a virtual reality telerobotic interface
- ….g., Q-learning) will be used to find the best action (e.g., determining the optimal grasping point…
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