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NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 6 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
160
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NIPS
2004
15 years 6 months ago
Experts in a Markov Decision Process
We consider an MDP setting in which the reward function is allowed to change during each time step of play (possibly in an adversarial manner), yet the dynamics remain fixed. Simi...
Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
WSCG
2001
108views more  WSCG 2001»
15 years 6 months ago
Using CORBA Middleware to Support the Development of Distributed Virtual Environment Applications
In this paper we report on using Common Object Request Broker Architecture (CORBA) middleware as a means of supporting the rapid development of Distributed Virtual Environment (DV...
S. Wilson, S. Sayers, M. D. J. McNeill
NIPS
2003
15 years 6 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
ACL
1998
15 years 6 months ago
Terminology Finite-State Preprocessing for Computational LFG
This paper presents a technique to deal with multiword nominal terminology in a computational Lexical Functional Grammar. This method treats multiword terms as single tokens by mo...
Caroline Brun