43 search results - page 6 / 9 » Belief Selection in Point-Based Planning Algorithms for POMD... |
ISRR
2005
Springer
15 years 3 months ago
2005
Springer
POMDPs provide a rich framework for planning and control in partially observable domains. Recent new algorithms have greatly improved the scalability of POMDPs, to the point where...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
HCI
2009
14 years 7 months ago
2009
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
AAAI
2010
14 years 11 months ago
2010
Planning in large, partially observable domains is challenging, especially when a long-horizon lookahead is necessary to obtain a good policy. Traditional POMDP planners that plan...
AAAI
2010
14 years 11 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...