Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems
© 2017 IEEE. We introduce a framework for model learning and planning in stochastic domains with continuous state and action spaces and non-Gaussian transition models. It is efficient because (1) local models are estimated only when the planner requires them; (2) the planner focuses on the most rele...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-11-05T20:58:24Z.
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| Subjects: | |
| Online Access: | Get fulltext |