Towards feature selection in actor-critic algorithms

Autor: Rohanimanesh, Khashayar, Roy, Nicholas, Tedrake, Russell Louis
Přispěvatelé: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Tedrake, Russell Louis, Roy, Nicholas
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: MIT web domain
Popis: URL to paper listed on conference page
Choosing features for the critic in actor-critic algorithms with function approximation is known to be a challenge. Too few critic features can lead to degeneracy of the actor gradient, and too many features may lead to slower convergence of the learner. In this paper, we show that a wellstudied class of actor policies satisfy the known requirements for convergence when the actor features are selected carefully. We demonstrate that two popular representations for value methods - the barycentric interpolators and the graph Laplacian proto-value functions - can be used to represent the actor in order to satisfy these conditions. A consequence of this work is a generalization of the proto-value function methods to the continuous action actor-critic domain. Finally, we analyze the performance of this approach using a simulation of a torque-limited inverted pendulum.
Databáze: OpenAIRE