88 search results - page 5 / 18 » A Framework for Reinforcement Learning on Real Robots |
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
EVOW
2003
Springer
14 years 20 days ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
ICRA
2005
IEEE
14 years 1 months ago
2005
IEEE
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
KES
1998
Springer
13 years 11 months ago
1998
Springer
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...