Special issue on approximate dynamic programming and reinforcement learning
نویسندگان
چکیده
منابع مشابه
Editorial: Special Section on Reinforcement Learning and Approximate Dynamic Programming
Approximate dynamic programming (ADP) is to compute near-optimal solutions to Markov decision problems (MDPs) with large or continuous spaces. In recent years, the research works on ADP have been brought together with the reinforcement learning (RL) community [1-4]. RL is a machine learning framework for solving sequential decision making problems that can also be modeled as the MDP formalism. ...
متن کاملApproximate Dynamic Programming and Reinforcement Learning
Dynamic programming (DP) and reinforcement learning (RL) can be used to address problems from a variety of fields, including automatic control, artificial intelligence, operations research, and economy. Many problems in these fields are described by continuous variables, whereas DP and RL can find exact solutions only in the discrete case. Therefore, approximation is essential in practical DP a...
متن کاملGuest Editorial: Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control
W E are extremely pleased to present this special issue of the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, PART B. The importance of adaptive dynamic programming (ADP) to feedback control engineers is that it affords a methodology for learning optimal control actions online in real time based on system performance without necessarily knowing the system dynamics. When such knowledge is r...
متن کاملReinforcement Learning And Approximate Dynamic Programming For Feedback Control
feedback control of dynamic systems 6th solution PDF feedback control of dynamic systems 6th solutions PDF feedback control of dynamic systems 5th edition pdf PDF feedback control of dynamic systems solution PDF feedback control of dynamic systems 7th edition PDF feedback control of dynamic systems 6th edition PDF feedback control of dynamic systems solutions PDF feedback control of dynamic sys...
متن کاملReinforcement learning and higher level cognition: introduction to special issue.
Reinforcement learning (RL), originally an area of computer science concerned with learning to obtain rewards or avoid punishments by trial and error (Sutton & Barto, 1998), has recently played an influential role on cognitive science and systems neuroscience. Spurred initially by remarkable parallels between computational algorithms for solving such problems in engineered systems such as robot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Control Theory and Applications
سال: 2011
ISSN: 1672-6340,1993-0623
DOI: 10.1007/s11768-011-1104-1