Improving the efficiency of Bayesian inverse reinforcement learning
Inverse reinforcement learning (IRL) is the task of learning the reward function of a Markov Decision Process (MDP) given knowledge of the transition function and a set of expert demonstrations. While many IRL algorithms exist, Bayesian IRL [1] provides a general and principled method of reward lear...
| المؤلفون الرئيسيون: | , |
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| مؤلفون آخرون: | |
| التنسيق: | مقال |
| اللغة: | en_US |
| منشور في: |
Institute of Electrical and Electronics Engineers (IEEE)
2013
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| الوصول للمادة أونلاين: | http://hdl.handle.net/1721.1/81489 https://orcid.org/0000-0001-8576-1930 |