128 search results - page 6 / 26 » Hierarchically Optimal Average Reward Reinforcement Learning |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
KI
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
ACL
2008
13 years 10 months ago
2008
We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
WSC
2008
13 years 11 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...