84 search results - page 4 / 17 » Exploiting State Constraints in Heuristic State-Space Planni... |
AAAI
1996
13 years 8 months ago
1996
If a state space is not completely known in advance, then search algorithms have to explore it sufficiently to locate a goal state and a path leading to it, performing therefore w...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
IJRR
2011
13 years 2 months ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
LAMAS
2005
Springer
14 years 29 days ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
JAIR
2006
13 years 7 months ago
2006
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...