Integrating Guidance into Relational Reinforcement Learning.
Reinforcement learning, and Q-learning in particular, encounter two major problems when dealing with large state spaces. First, learning the Q-function in tabular form may be infeasible because of the excessive amount of memory needed to store the table, and because the Q-function only converges aft...
| Vydáno v: | Machine learning. 57, 3 (2004). |
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| Hlavní autor: | |
| Médium: | Článek |
| Jazyk: | English |
| Témata: |