VariBAD: variational bayes-adaptive deep RL via meta-learning
Trading off exploration and exploitation in an unknown environment is key to maximising expected online return during learning. A Bayes-optimal policy, which does so optimally, conditions its actions not only on the environment state but also on the agent's uncertainty about the environment. Co...
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
Journal of Machine Learning Research
2021
|