The development and implementation of new network protocols and applications need accurate, scalable, reconfigurable, and inexpensive tools for debugging, testing, performance tun...
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
Multicore is now the dominant processor trend, and the number of cores is rapidly increasing. The paradigm shift to multicore forces the redesign of the software stack, which incl...
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...