Gaussian processes non‐linear inverse reinforcement learning
نویسندگان
چکیده
منابع مشابه
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
We present a probabilistic algorithm for nonlinear inverse reinforcement learning. The goal of inverse reinforcement learning is to learn the reward function in a Markov decision process from expert demonstrations. While most prior inverse reinforcement learning algorithms represent the reward as a linear combination of a set of features, we use Gaussian processes to learn the reward as a nonli...
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ژورنال
عنوان ژورنال: IET Cyber-Systems and Robotics
سال: 2021
ISSN: 2631-6315,2631-6315
DOI: 10.1049/csy2.12017