261 search results - page 3 / 53 » Branching Continuous Time and the Semantics of Continuous Ac... |
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
AAAI
2007
13 years 8 months ago
2007
The goal of my research is to understand speech input in a continuous manner by treating the input stream as fragmental utterances. This allows us to use various approaches to pre...
ENTCS
2006
13 years 6 months ago
2006
In this paper, we study several linear-time equivalences (Markovian trace equivalence, failure and ready trace equivalence) for continuous-time Markov chains that refer to the pro...
ICML
2001
IEEE
14 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
ISCA
2005
IEEE
13 years 12 months ago
2005
IEEE
This paper presents a hardware-based dynamic optimizer that continuously optimizes an application’s instruction stream. In continuous optimization, dataflow optimizations are p...