32 search results - page 2 / 7 » Reinforcement Learning and the Bayesian Control Rule |
IJCAI
2003
13 years 6 months 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...
IROS
2009
IEEE
14 years 3 days ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
IAT
2008
IEEE
13 years 5 months ago
2008
IEEE
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant develop...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
HIS
2004
13 years 6 months ago
2004
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...