2011 search results - page 240 / 403 » Universal Reinforcement Learning |
144
Voted
ECML
2007
Springer
15 years 11 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
149
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ICCS
1993
Springer
15 years 9 months ago
1993
Springer
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
160
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NIPS
2008
15 years 6 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
112
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
132
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ETS
2000
IEEE
15 years 4 months ago
2000
IEEE
This paper outlines and discusses the pedagogical approach, the technical design architecture, and an innovative implementation of a collaborative role-play simulation technology ...