Akten 2016.pol - guillaumedescoteauxisabelle/ma-biblio GitHub Wiki
page: 1 type: text-highlight created: 2020-10-03T05:04:45.314Z color: yellow Collaborative creativity
page: 1 type: text-highlight created: 2020-10-03T05:05:01.707Z color: yellow Convolutional Neural Networks
page: 1 type: text-highlight created: 2020-10-03T05:05:23.282Z color: yellow human-machine collaborative drawing environment i
page: 1 type: text-highlight created: 2020-10-03T05:05:27.113Z color: yellow autonomous agen
page: 1 type: text-highlight created: 2020-10-06T02:55:39.032Z color: yellow Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
page: 1 type: text-highlight created: 2020-10-06T02:56:42.527Z color: green an autonomous agent sketches images while optionally allowing a user to directly influence the agent’s trajectory.
page: 2 type: text-highlight created: 2020-10-06T02:57:53.989Z color: #9900EF computational models of creativity
page: 2 type: text-highlight created: 2020-10-06T02:58:57.992Z color: yellow investigating the opportunities provided by Deep artificial Neural Networks (DNNs) — in particular Convolutional Neural Networks (CNN) — combined with agent-based AI methods — such as Monte Carlo Tree Search (MCTS) — for the task of driving collaborative drawing agents
page: 1 type: text-highlight created: 2020-10-06T03:00:52.315Z color: yellow We combine Monte Carlo Tree Search with image classifiers and test both shallow models (e.g. multinomial logistic regression) and deep Convolutional Neural Networks (e.g. LeNet, Inception v3).
page: 1 type: text-highlight created: 2020-10-06T03:01:42.609Z color: green The aim of this research is to create an autonomous, collaborative, ‘creative’ agent that can sketch images in realtime, while optionally allowing a user to intervene and physically influence the agent, affecting how and what it decides to draw
page: 1 type: text-highlight created: 2020-10-06T03:10:30.777Z color: yellow autonomous, collaborative, ‘creative’ agent
page: 2 type: text-highlight created: 2020-10-06T03:11:30.205Z color: yellow Monte Carlo Tree Search (MCTS)
page: 4 type: text-highlight created: 2020-10-06T03:13:31.180Z color: yellow realtime agent based methods.
page: 1 type: text-highlight created: 2020-10-06T03:14:39.432Z color: yellow Akten
page: 1 type: text-highlight created: 2020-10-14T19:32:31.068Z color: green ic, our objective is to allow the agent to take random actions, and sketch any path (i.e. follow any trajectory) that resembles a predetermined, desired object class .