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78
Voted
NIPS
2001
14 years 11 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
83
Voted
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
SMC
2007
IEEE
15 years 3 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
EUROGP
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Model checking is a way of analysing programs and programlike structures to decide whether they satisfy a list of temporal logic statements describing desired behaviour. ...