688 search results - page 52 / 138 » Using reinforcement learning to adapt an imitation task |
102
click to vote
ICMLA
2010
14 years 9 months ago
2010
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
ECAI
2000
Springer
15 years 4 months ago
2000
Springer
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
109
click to vote
HIS
2004
15 years 1 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...