From Perturbation Analysis to Markov Decision Processes and Reinforcement Learning

[Adaptation, Learning, and Optimization]

[Adaptation, Learning, and Optimization] Reinforcement Learning Volume 12 || Reinforcement Learning and Markov Decision Processes

✍ Wiering, Marco; van Otterlo, Martijn 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 660 KB

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement l

[Adaptation, Learning, and Optimization]

[Adaptation, Learning, and Optimization] Reinforcement Learning Volume 12 || Partially Observable Markov Decision Processes

✍ Wiering, Marco; van Otterlo, Martijn 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 624 KB

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement l

The Relations Among Potentials, Perturba

The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes

✍ Xi-Ren Cao 📂 Article 📅 1998 🏛 Springer 🌐 English ⚖ 128 KB

A reinforcement learning method based on

A reinforcement learning method based on an immune network adapted to a semi-Markov decision process

✍ Nagahisa Kogawa; Masanao Obayashi; Kunikazu Kobayashi; Takashi Kuremoto 📂 Article 📅 2009 🏛 Springer Japan 🌐 English ⚖ 448 KB