23 search results - page 5 / 5 » On Finding Compromise Solutions in Multiobjective Markov Dec... |
GECCO
2009
Springer
13 years 3 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
IJCAI
2003
13 years 6 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
NIPS
1998
13 years 6 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...