Sciweavers

251 search results - page 13 / 51
» Skill Combination for Reinforcement Learning
Sort
View
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 10 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
160
Voted
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 3 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— 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...
Todd Hester, Michael Quinlan, Peter Stone
ICML
2004
IEEE
16 years 6 months ago
Apprenticeship learning via inverse reinforcement learning
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...
Pieter Abbeel, Andrew Y. Ng
TSMC
2008
132views more  TSMC 2008»
15 years 5 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
176
Voted
TFS
2011
239views Education» more  TFS 2011»
15 years 7 days ago
Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
William M. Hinojosa, Samia Nefti, Uzay Kaymak