Upper Bounds on the Performance of Discretisation in Reinforcement Learning
Reinforcement learning is a machine learning framework whereby an agent learns to perform a task by maximising its total reward received for selecting actions in each state. The policy mapping states to actions that the agent learns is either represented explicitly, or implicitly through a value fun...
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| Format: | Article |
| Language: | English |
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South African Institute of Computer Scientists and Information Technologists
2015-12-01
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| Series: | South African Computer Journal |
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| Online Access: | http://sacj.cs.uct.ac.za/index.php/sacj/article/view/284 |