[D] Paper Explained - Improving Intrinsic Exploration with Language Abstractions (Full Video Analysis)

[https://youtu.be/NeGJAUSQEJI](https://youtu.be/NeGJAUSQEJI)

Exploration is one of the oldest challenges for Reinforcement Learning algorithms, with no clear solution to date. Especially in environments with sparse rewards, agents face significant challenges in deciding which parts of the environment to explore further. Providing intrinsic motivation in form of a pseudo-reward is sometimes used to overcome this challenge, but often relies on hand-crafted heuristics, and can lead to deceptive dead-ends. This paper proposes to use language descriptions of encountered states as a method of assessing …

analysis exploration language machinelearning paper video video analysis