Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning
Abstract Reinforcement learning (RL) techniques nurture building up solutions for sequential decision-making problems under uncertainty and ambiguity. RL has agents with a reward function that interacts with a dynamic environment to find out an optimal policy. There are problems associated with RL l...
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| Format: | Article |
| Language: | English |
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Springer
2022-07-01
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| Series: | Complex & Intelligent Systems |
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| Online Access: | https://doi.org/10.1007/s40747-022-00807-5 |