1236 search results - page 73 / 248 » Opposition-Based Reinforcement Learning |
179
Voted
ABIALS
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
115
Voted
IJON
2006
15 years 2 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
103
Voted
GECCO
2005
Springer
15 years 8 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
142
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
118
Voted
ICRA
2009
IEEE
15 years 9 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...