Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning

6 Mar 2018Juan Camilo Gamboa HigueraDavid MegerGregory Dudek

We present an algorithm for rapidly learning controllers for robotics systems. The algorithm follows the model-based reinforcement learning paradigm, and improves upon existing algorithms; namely Probabilistic learning in Control (PILCO) and a sample-based version of PILCO with neural network dynamics (Deep-PILCO)... (read more)

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