373 search results - page 1 / 75 » Covariant Policy Search |
81
Voted
IJCAI
2003
15 years 8 days ago
2003
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
94
Voted
AAAI
2010
15 years 11 days ago
2010
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
115
Voted
GECCO
2009
Springer
14 years 8 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...
74
Voted
ESANN
2008
15 years 10 days ago
2008
Natural policy gradient methods and the covariance matrix adaptation evolution strategy, two variable metric methods proposed for solving reinforcement learning tasks, are contrast...
88
Voted
BIOCOMP
2006
15 years 9 days ago
2006
Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...