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» Solving Time-Dependent Planning Problems
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AAAI
1997
13 years 9 months ago
Structured Solution Methods for Non-Markovian Decision Processes
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
ICML
2009
IEEE
14 years 9 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
AAI
2004
89views more  AAI 2004»
13 years 8 months ago
Distributed And Devolved Work Allocation Planning
Work allocation planning is a vital and notoriously difficult task in areas characterised by large work forces, contiguous and sometimes overlapping shifts, regulatory and corpora...
Graham Winstanley
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
13 years 6 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...
IROS
2009
IEEE
163views Robotics» more  IROS 2009»
14 years 2 months ago
On the performance of random linear projections for sampling-based motion planning
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
Ioan Alexandru Sucan, Lydia E. Kavraki