Tag: model-based RL

A new scoping review of 130 studies finds that reinforcement learning for long-horizon robotic manipulation is dominated by hierarchical methods, ...

A new narrative review maps how offline reinforcement learning methods behave when robotic manipulation datasets are small, narrow and noisy.

A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...