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...
Published in: | Machine learning. 57, 3 (2004). |
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Format: | Article |
Language: | English |
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