171 search results - page 29 / 35 » Principled Methods for Advising Reinforcement Learning Agent... |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
IWCLS
2007
Springer
14 years 1 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
AAAI
2008
13 years 10 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...