概要 †
- 人工知能合同国際会議(International Joint Conference on Artificial Intelligence)
- 2009年7月11日-17日
- カリフォルニア
- http://ijcai-09.org/
2年に一度行われる人工知能分野で最も重要な国際会議です.
ここでも強化学習のセッションが1つあります.
REINFORCEMENT LEARNING †
- Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation.
Jonathan Mugan, Benjamin Kuipers. - Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning.
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama. - Efficient Skill Learning using Abstraction Selection.
George Konidaris, Andrew Barto. - Inverse Reinforcement Learning in Partially Observable Environments.
Jaedeug Choi, Kee-Eung Kim.