We present a control strategy for physically-simulated walking motions that generalizes well across gait parameters, motion styles, character proportions, and a variety of skills....
Stelian Coros, Philippe Beaudoin, Michiel van de P...
We present a family of verifiable random functions which are provably secure for exponentially-large input spaces under a non-interactive complexity assumption. Prior construction...
We introduce a distributed negotiation framework for multiagent resource allocation where interactions between agents are limited by a graph defining a negotiation topology. A gr...
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, ...
Graphical games capture some of the key aspects relevant to the study and design of multi-agent systems. It is often of interest to find the conditions under which a game is stab...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...