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ECML
2007
Springer
13 years 11 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
NIPS
1993
13 years 9 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...
CCGRID
2006
IEEE
14 years 1 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
WIKIS
2006
ACM
14 years 1 months ago
WikiTrails: augmenting Wiki structure for collaborative, interdisciplinary learning
Wikis are currently in high demand in a large variety of fields, due to their simplicity and flexible nature. Documentation, reporting, project management, online glossaries and d...
Silvan Reinhold
MT
2002
107views more  MT 2002»
13 years 7 months ago
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, K...