Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
—Transport of real-time voice traffic on the Internet is difficult due to packet loss and jitter. Packet loss is handled primarily through a variety of different forward error ...
An ad hoc network is formed by a group of mobile hosts communicating over wireless channels. Such a network operates without any fixed network interaction and centralized administ...
Abstract. This paper describes the architecture and implementation of a constraint-based framework for rapid prototyping of distributed applications such as virtual simulations, co...
Abstract. We present a lower bound on the number of rounds required by Concurrent Zero-Knowledge proofs for languages in NP. It is shown that in the context of Concurrent Zero-Know...