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» A Framework for Reinforcement Learning on Real Robots
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AAAI
1998
13 years 8 months ago
A Framework for Reinforcement Learning on Real Robots
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
William D. Smart, Leslie Pack Kaelbling
AIHC
2007
Springer
14 years 1 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
14 years 1 months ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
NIPS
2008
13 years 8 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters
ICRA
2007
IEEE
147views Robotics» more  ICRA 2007»
14 years 1 months ago
Neural Reinforcement Learning Controllers for a Real Robot Application
— Accurate and fast control of wheel speeds in the presence of noise and nonlinearities is one of the crucial requirements for building fast mobile robots, as they are required i...
Roland Hafner, Martin Riedmiller