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Online Concurrent Reinforcement Learning Algorithm to Solve Two-player Zero-sum Games for Partially-unknown Nonlinear Continuous-time Systems
Year: 2014
Abstract:
is often infeasible to implement or monitor online. This paper proposes an online concurrent reinforcement learning algorithm (CRLA) based on neural networks (NNs) to solve the H1 control problem of partially unknown continuous-time systems, in which...