A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward Empirical Results with Yield Management and Convergence Analysis.
We present a Reinforcement Learning (RL) algorithm based on policy iteration for solving average reward Markov and semi-Markov decision problems. In the literature on discounted reward RL, algorithms based on policy iteration and actor-critic algorithms have appeared. Our algorithm is an asynchronou...
| הוצא לאור ב: | Machine learning. 55, 1 (2004). |
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| מחבר ראשי: | |
| פורמט: | Article |
| שפה: | English |
| נושאים: |