In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
In this paper, we present `QUICKIES', an attempt to bring one of the most useful inventions of the 20th century into the digital age: the ubiquitous sticky notes. `QUICKIES...
The objects and surfaces of a task-based environment can be layered with digital interfaces to make them easier and safer to use. Once information can be projected anywhere in the...
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and sca...
Wilbur Peng, William Krueger, Alexander Grushin, P...