18 search results - page 2 / 4 » Elman Backpropagation as Reinforcement for Simple Recurrent ... |
ISADS
1999
IEEE
13 years 10 months ago
1999
IEEE
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
ICANN
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
EURASIP
1990
13 years 9 months ago
1990
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...
EVOW
2003
Springer
13 years 11 months 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 ...
ICANN
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...