In this blog post, we aim to understand if, when and why offline RL is a better approach for tackling a variety of sequential decision-making problems.
A computational tool developed to predict the structure of protein complexes is providing new insights into the biomolecular mechanisms of their function.
To better understand advances in AI as a part of the education of health sciences students, researchers conducted a comprehensive literature review and hosted a virtual panel.
Host Ben Byford chats to Richard Bartle about the metaverse, the lack of progress of AI in games, ethical considerations of games designers, ethics of AI life, robot rights and more...
Unsupervised reinforcement learning (RL), where RL agents pre-train with self-supervised rewards, is an emerging paradigm for developing RL agents that are capable of generalization.