Reinforcement Learning for Structural Control

Reinforcement Learning for Reactive Powe

Reinforcement Learning for Reactive Power Control

✍ Vlachogiannis, J.G.; Hatziargyriou, N.D. 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 546 KB

Adaptive reinforcement learning system f

Adaptive reinforcement learning system for linearization control

✍ Kao-Shing Hwang; Horag-Jen Chao 📂 Article 📅 2000 🏛 IEEE 🌐 English ⚖ 88 KB

[IEEE 2008 International Conference on C

[IEEE 2008 International Conference on Control, Automation and Systems (ICCAS) - Seoul, South Korea (2008.10.14-2008.10.17)] 2008 International Conference on Control, Automation and Systems - A reinforcement learning system with chaotic neural networks-based adaptive hierarchical memory structure for autonomous robots

✍ Masanao Obayashi, ; Kenichiro Narita, ; Takashi Kuremoto, ; Kunikazu Kobayashi, 📂 Article 📅 2008 🏛 IEEE ⚖ 591 KB

Reinforcement Learning for True Adaptive

Reinforcement Learning for True Adaptive Traffic Signal Control

✍ Abdulhai, Baher; Pringle, Rob; Karakoulas, Grigoris J. 📂 Article 📅 2003 🏛 American Society of Civil Engineers 🌐 English ⚖ 169 KB

Reinforcement Learning and Approximate D

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Lewis/Reinforcement Learning and Approximate Dynamic Programming for Feedback Control) || Frontmatter

✍ Lewis, Frank L.; Liu, Derong 📂 Article 📅 2013 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 215 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

Reinforcement Learning and Approximate D

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Lewis/Reinforcement Learning and Approximate Dynamic Programming for Feedback Control) || Linearly Solvable Optimal Control

✍ Lewis, Frank L.; Liu, Derong 📂 Article 📅 2013 🏛 John Wiley & Sons, Inc. 🌐 English ⚖ 307 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