1863 search results - page 28 / 373 » Multiagent learning using a variable learning rate |
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
ICML
1998
IEEE
14 years 9 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
AROBOTS
2011
13 years 3 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
IAT
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...