VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning
Trading off exploration and exploitation in an unknown environment is key to maximising expected return during learning. A Bayes-optimal policy, which does so optimally, conditions its actions not only on the environment state but on the agent’s uncertainty about the environment. Computing a Bayes-o...
| Hlavní autoři: | , , , , , , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
International Conference on Learning Representations
2020
|