1325 search results - page 25 / 265 » Algorithm Selection using Reinforcement Learning |
136
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
117
click to vote
COLT
2008
Springer
15 years 5 months ago
2008
Springer
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
144
click to vote
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
143
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
145
Voted
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...