We present a typed calculus IL ("intermediate language") which supports the embedding of ML-like (strict, eager) and Haskell-like (non-strict, lazy) languages, without fa...
Ben Rudiak-Gould, Alan Mycroft, Simon L. Peyton Jo...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Web applications design methodologies hold the promise of engineering high-quality and long-lived Web systems and rich Internet applications. However, many such methodologies focu...
Damiano Distante, Scott R. Tilley, Gerardo Canfora