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Self-attention policy architectures for reinforcement learning under partial observability
Intermittent unavailability of sensory signals due to sensor failure and/or latency is a problem encountered in production environments such as in large manufacturing plants, for example. Deep reinforcement learning offers a natural solution for process control and optimisation in such environments....
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| Language: | English English |
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Department of Mathematics and Applied Mathematics
2025
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