15 search results - page 3 / 3 » Incremental Least-Squares Temporal Difference Learning |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
NIPS
2007
13 years 7 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
ECAI
2004
Springer
13 years 11 months ago
2004
Springer
Agents that exist in an environment that changes over time, and are able to take into account the temporal nature of experience, are commonly called incremental learners. It is wid...
PAMI
2007
13 years 5 months ago
2007
—In multitarget tracking, the main challenge is to maintain the correct identity of targets even under occlusions or when differences between the targets are small. The paper pro...
CPAIOR
2006
Springer
13 years 9 months ago
2006
Springer
Temporal planning (TP) is notoriously difficult because it requires to solve a propositional STRIPS planning problem with temporal constraints. In this paper, we propose an efficie...