Media Summary: Reinforcement Learning (RL) enables agents to learn optimal decision making through interaction within a dynamic environment. Advances from the natural language processing community have recently sparked a renaissance in the task of adhoc search. The rise of social media has democratized content creation and has made it easy for anybody to share and to spread information ...
Rl4ir Ecir 2021 Tutorial Video Pitch - Detailed Analysis & Overview
Reinforcement Learning (RL) enables agents to learn optimal decision making through interaction within a dynamic environment. Advances from the natural language processing community have recently sparked a renaissance in the task of adhoc search. The rise of social media has democratized content creation and has made it easy for anybody to share and to spread information ... Speakers: Alexander Kuhnle, Miguel Aroca-Ouellette, Murat Sensoy, John Reid, and Dell Zhang, Blue Prism AI Labs, UK Type: ... Who's at the door? It might be a robot. This 2016 training Dynamic Robotic Systems Lab. Seoul National University ...
Reinforcement learning is great, but environment interaction can be expensive. This paper proposes an RL algorithm based of ...
