✦ LIBER ✦

Using feedback in collaborative reinforcement learning to adaptively optimize MANET routing

✍ Scribed by Dowling, J.; Curran, E.; Cunningham, R.; Cahill, V.

Book ID: 117937312
Publisher: IEEE
Year: 2005
Tongue: English
Weight: 572 KB
Volume: 35
Category: Article
ISSN: 1083-4427
DOI: 10.1109/tsmca.2005.846390

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Reinforcement Learning and Approximate D

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Lewis/Reinforcement Learning and Approximate Dynamic Programming for Feedback Control) || Learning and Optimization in Hierarchical Adaptive Critic Design

✍ Lewis, Frank L.; Liu, Derong 📂 Article 📅 2013 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 749 KB

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single

[Lecture Notes in Computer Science] Spat

[Lecture Notes in Computer Science] Spatial Cognition VII Volume 6222 || Generating Adaptive Route Instructions Using Hierarchical Reinforcement Learning

✍ Hölscher, Christoph; Shipley, Thomas F.; Olivetti Belardinelli, Marta; Bateman, 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg ⚖ 377 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] From Motor Learning to Interaction Learning in Robots Volume 264 || Adaptive Optimal Feedback Control with Learned Internal Dynamics Models

✍ Sigaud, Olivier; Peters, Jan 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 438 KB

From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International

Corrigendum to ‘Reinforcement Learning a

Corrigendum to ‘Reinforcement Learning and Optimal Adaptive Control: An Overview and Implementation Examples’ [Annual Reviews in Control 36 (1) (2012) 42–59]

✍ Said G. Khan; Guido Herrmann; Frank L. Lewis; Tony Pipe; Chris Melhuish 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 98 KB

[IEEE 2007 IEEE Wireless Communications

[IEEE 2007 IEEE Wireless Communications and Networking Conference - Kowloon, China (2007.03.11-2007.03.15)] 2007 IEEE Wireless Communications and Networking Conference - QoS Routing in MANETS with Imprecise Information Using Actor-Critic Reinforcement Learning

✍ Usaha, Wipawee; Barria, Javier A. 📂 Article 📅 2007 🏛 IEEE ⚖ 203 KB

[IEEE 2010 8th IEEE International Confer

[IEEE 2010 8th IEEE International Conference on Control and Automation (ICCA) - Xiamen, China (2010.06.9-2010.06.11)] IEEE ICCA 2010 - Optimal adaptive control for unknown systems using output feedback by reinforcement learning methods

✍ Lewis, F.L.; Vamvoudakis, Kyriakos G. 📂 Article 📅 2010 🏛 IEEE ⚖ 541 KB