Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
Military operations planning involves concurrent actions, resource assignment, and conflicting costs. Individual tasks sometimes fail with a known probability, promoting a decisio...
In a market-based scheduling mechanism, the allocation of time-specific resources to tasks is governed by a competitive bidding process. Agents bidding for multiple, separately al...
Jeffrey K. MacKie-Mason, Anna Osepayshvili, Daniel...
Entertainment animatronics has traditionally been a discipline devoid of interactivity. Previously, we brought interactivity to this field by creating a suite of content authoring...
Seema Patel, William Bosley, David Culyba, Sabrina...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...