56 search results - page 9 / 12 » Q-Learning in Continuous State and Action Spaces |
93
Voted
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
ATAL
2005
Springer
15 years 5 months ago
2005
Springer
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
112
Voted
PUK
2000
15 years 1 months ago
2000
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
106
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ICML
2001
IEEE
16 years 14 days ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
HICSS
2006
IEEE
15 years 5 months ago
2006
IEEE
Dynamic technology-driven circumstances fortify academic librarians’ reconsideration of their professional purposes, processes and relationships. In response, California Polytec...