概要 †
- 人工知能における不確実性国際会議(International Conference on Uncertainty in Artificial Intelligence)
- 2009年6月19日-21日
- モントリオール
- http://www.cs.mcgill.ca/~uai2009/
人工知能がメインの国際会議です.
ここでも強化学習に関するセッションが1つあります.
Reinforcement Learning †
- Regret-based Reward Elicitation for Markov Decision Processes.
Kevin Regan, Craig Boutilier. - A Bayesian Sampling Approach to Exploration in Reinforcement Learning.
Michael Littman, Lihong Li, Ali Nouri, David Wingate, John Asmuth. - New inference strategies for solving Markov Decision Processes using reversible jump MCMC.
Matt Hoffman, Hendrik Kueck, Nando de Freitas, Arnaud Douce. - Censored Exploration and the Dark Pool Problem.
Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman.