103 search results - page 14 / 21 » Constrained Motion Planning in Discrete State Spaces |
NIPS
1993
13 years 9 months ago
1993
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
UAI
2004
13 years 9 months ago
2004
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— We consider a collection of robots sharing a common environment, each robot constrained to move on a roadmap in its configuration space. To program optimal collision-free moti...
NIPS
2003
13 years 9 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
COMPGEOM
2000
ACM
14 years 1 days ago
2000
ACM
: We present a new approach for computing generalized Voronoi diagrams in two and three dimensions using interpolation-based polygon rasterization hardware. The input primitives ma...