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NIPS
1993
13 years 8 months ago
Robust Reinforcement Learning in Motion Planning
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, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
ICRA
2010
IEEE
105views Robotics» more  ICRA 2010»
13 years 6 months ago
On the implementation of single-query sampling-based motion planners
— Single-query sampling-based motion planners are an efficient class of algorithms widely used today to solve challenging motion planning problems. This paper exposes the common...
Ioan Alexandru Sucan, Lydia E. Kavraki
ENTER
2006
Springer
13 years 11 months ago
From Information Behaviour of Independent Travellers to Requirements for Information Systems
The complexity and dynamic nature of travelling offers many opportunities for technological support. But printed guidebooks remain the typical companion, despite many weaknesses. ...
Marco Prestipino
LAMAS
2005
Springer
14 years 1 months ago
Multi-agent Relational Reinforcement Learning
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...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
HT
2000
ACM
13 years 12 months ago
Making a successful case for a hypertextual doctoral dissertation
In August of 1998 I completed the first hypertextual dissertation at Rensselaer Polytechnic Institute. The dissertation was a case study applying methods of rhetorical analysis an...
Christine Boese