Gaussian processes non‐linear inverse reinforcement learning
Abstract The authors analyse a Bayesian framework for posing and solving inverse reinforcement learning (IRL) problems that arise in decision‐making and optimisation settings. The authors propose a non‐parametric Bayesian model using Gaussian process (GP) and preference graphs, which offer an effect...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
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| Series: | IET Cyber-systems and Robotics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/csy2.12017 |