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UAI
2001
15 years 8 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
ECIS
2000
15 years 8 months ago
Rapid Knowledge Deployment in an Organizational-Memory-Based Workflow Environment
Abstract-- Knowledge management is becoming a fashion in many organizations. This entails the danger that large investments in knowledge externalization are made with little short-...
Ralf Klamma, Sylvia Schlaphof
FLAIRS
1998
15 years 8 months ago
Learning to Race: Experiments with a Simulated Race Car
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Larry D. Pyeatt, Adele E. Howe
AIPS
1996
15 years 8 months ago
A Procedural Knowledge Approach to Task-Level Control
Effective task-level control is critical for robots that are to engage in purposeful activity in realworld environments. This paper describes PRSLite, a task-level controller grou...
Karen L. Myers
CCIA
2009
Springer
15 years 7 months ago
Contract Formation through Preemptive Normative Conflict Resolution
We explore a rule-based formalisation for contracts: the rules capture conditional norms, that is, they describe situations arising during the enactment of a multi-agent system, an...
Wamberto Weber Vasconcelos, Timothy J. Norman