Learning dynamics and generalization in reinforcement learning
Solving a reinforcement learning (RL) problem poses two competing challenges: fitting a potentially discontinuous value function, and generalizing well to new observations. In this paper, we analyze the learning dynamics of temporal difference algorithms to gain novel insight into the tension betwee...
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Conference item |
| Kieli: | English |
| Julkaistu: |
Journal of Machine Learning Research
2022
|