Reinforcement Learning — Main in 2022

Authors

Panov A.

Annotation

The talk will go through the most exciting results in the field of reinforcement learning (RL) obtained in 2022. We will see how this area of research has changed with the use of autonomous learning, transformers, and an environment model. We will also touch on using RL as an auxiliary tool for other tasks in the field of ML, for example, for additional training of large language models.