509 search results - page 54 / 102 » Compositional Models for Reinforcement Learning |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
AGI
2011
12 years 11 months ago
2011
Under Legg’s and Hutter’s formal measure [1], performance in easy environments counts more toward an agent’s intelligence than does performance in difficult environments. An ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Cloth modeling and recognition is an important and challenging problem in both vision and graphics tasks, such as dressed human recognition and tracking, human sketch and portrait...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
ACL
2010
13 years 5 months ago
2010
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...