RLDM Workshop on Curiosity for Decision-Making
Held at the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019)
Wednesday, July 10, 2019 - McGill University, Montréal, Québec, Canada
Curiosity is a key trait for agents, artificial or natural, enabling them to learn to be an effective general agent throughout their life. Curiosity research spans psychology, AI, neuroscience, sociology, and others. Each of the fields brings a different perspective on both the mechanisms driving curiosity and the benefits of curious agents. Curiosity for Decision-Making (CFDM) workshop will bring together these diverse perspectives. It starts with lightning talks presenting a multidisciplinary perspective. The second part of the workshop is a larger general group discussion based on the presentation, followed by targeted small group discussions on topics of interest that arose during the group discussion.
The goal of the workshop is to outline how curiosity could be used in artificial learning systems and outline a list of key issues for research in curiosity.
These talks will highlight different perspectives on curiosity, from AI, psychology, and neuroscience, to stimulate further discussion. The speakers will be encouraged to introduce what curiosity means to them, why curiosity matters, and the state of current research in their area around the topic. If pertinent, the speakers will also be encouraged to talk about their view on how curiosity would be incorporated into an artificial learning system.
The program will be announced soon.