688 search results - page 67 / 138 » Using reinforcement learning to adapt an imitation task |
ENTER
2008
Springer
13 years 9 months ago
2008
Springer
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
IWCLS
2007
Springer
14 years 2 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...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
SMC
2007
IEEE
14 years 2 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
FBIT
2007
IEEE
14 years 2 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...