Sciweavers

63 search results - page 9 / 13
» Learning Subgoal Sequences for Planning
Sort
View
JAIR
2010
145views more  JAIR 2010»
15 years 6 days ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
IAT
2008
IEEE
15 years 1 months ago
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
Budhitama Subagdja, Ah-Hwee Tan
ROBOCUP
2004
Springer
94views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
Optic Flow Based Skill Learning for a Humanoid to Trap, Approach to, and Pass a Ball
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Masaki Ogino, Masaaki Kikuchi, Jun'ichiro Ooga, Ma...
111
Voted
ICCBR
2005
Springer
15 years 7 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles
NIPS
2007
15 years 3 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...