Consider a multiple-agent transition system such that, for some basic types T1, . . . , Tn, the state of any agent can be represented as an element of the Cartesian product T1 ×·...
Workstation clusters are becoming an interesting alternative to dedicated multiprocessors. In this environment, the probability of a failure, during an application's executio...
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...