50 search results - page 10 / 10 » State Space Search for Risk-Averse Agents |
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
This article introduces a novel approach to the problem of collaborative planning. We present a method that takes classical one-shot planning techniques - that take a fixed set of...
ATAL
2007
Springer
13 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
AAAI
2004
13 years 6 months ago
2004
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
IJCAI
2007
13 years 6 months ago
2007
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
AIMSA
1998
Springer
13 years 8 months ago
1998
Springer
The acceptance and usability of current interactive theorem proving environments is, among other things, strongly influenced by the availability of an intelligent default suggestio...