Jun 6, 2022
Improving Sample Efficiency in Evolutionary RL using Off-policy Ranking
--Dr. Gugan Thoppe-- Reinforcement learning is a type of machine learning technique where the agent learns from the interactive environment by trial and error and has applications in sectors such as self-driving cars, marketing, robotics, gaming, manufacturing etc. However, at times it is difficult to apply reinforcement learning in situations where objective function features such as linearity, convexity or differentiability often are non-existent or difficult to detect. This is where Evolutionary strategy RL can help.

3 min read