This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
This paper presents a novel approach for post-mapping optimization. We exploit the concept of generalized matching, a technique that nds symbolically all possible matching assignm...
Abstract—This paper presents an aggressive optimization technique targeting combinational logic circuits. Starting from an initial implementation mapped on a given technology lib...
The paper presents a novel software-pipelining algorithm suitable for optimizing compilers targeting embedded VLIW processors. The proposed algorithm is different from previous ap...