Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Abstract— In the last few years, WLAN has seen immense growth and it will continue this trend due to the fact that it provides convenient connectivity as well as high speed links...
Kavitha Muthukrishnan, Nirvana Meratnia, Maria Eva...
We present the Haptic Shading Framework (HSF), a framework for procedurally defining haptic texture. HSF haptic texture shaders are short procedures allowing an application-progr...
Awareness of the need for robustness in distributed systems increases as distributed systems become integral parts of day-to-day systems. Self-stabilizing while tolerating ongoing ...