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» On the Convergence of Bound Optimization Algorithms
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ICRA
2009
IEEE
161views Robotics» more  ICRA 2009»
16 years 1 months ago
Multi-vehicle path planning in dynamically changing environments
— In this paper, we propose a path planning method for nonholonomic multi-vehicle system in presence of moving obstacles. The objective is to find multiple fixed length paths f...
Ali Ahmadzadeh, Nader Motee, Ali Jadbabaie, George...
PODC
2010
ACM
15 years 10 months ago
Optimal gradient clock synchronization in dynamic networks
We study the problem of clock synchronization in highly dynamic networks, where communication links can appear or disappear at any time. The nodes in the network are equipped with...
Fabian Kuhn, Christoph Lenzen, Thomas Locher, Rote...
ISPD
1997
ACM
68views Hardware» more  ISPD 1997»
15 years 10 months ago
Faster minimization of linear wirelength for global placement
A linear wirelength objective more e ectively captures timing, congestion, and other global placement considerations than a squared wirelength objective. The GORDIAN-L cell placem...
Charles J. Alpert, Tony F. Chan, Dennis J.-H. Huan...
GRID
2007
Springer
15 years 10 months ago
Optimizing multiple queries on scientific datasets with partial replicas
We propose strategies to efficiently execute a query workload, which consists of multiple related queries submitted against a scientific dataset, on a distributed-memory system in...
Li Weng, Ümit V. Çatalyürek, Tahs...
AAMAS
2007
Springer
15 years 6 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko