Searching for "Incremental Multi-Step Q-Learning." – sorted by Relevance.
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Incremental Multi-Step Q-Learning
- learning 1. Introduction The incremental multi-step Q-learning (Q()-learning) method is a new direct (or
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SWARM: Cooperative Reinforcement Learning for Routing Ad-hoc Networks
- -free . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.3.2 Q-Learning. Model-Based and Model-Free . . . . . . . . . . . . . . . . . . . . . . . . . 27
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Hybrid Coordination of Reinforcement Learning-based Behaviors for AUV Control
- was Q(λ)-learning, proposed by Peng and Williams [13]. The algorithm is an incremental multi-step Q-learning
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Bibliography
- Learning, 1995. [265] J. Peng and R. Williams. Incremental multi-step Q-learning. In Proceedings
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See Maturity Threshold
- . and Williams, R.J. (1996) "Incremental Multi-Step Q-learning", Machine Learning, Vol. 22, pp. 283-290 Pinker, S
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