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AAAI
1996
15 years 8 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
AAAI
1996
15 years 8 months ago
Knowledge-Based Navigation of Complex Information Spaces
While the explosion of on-line information has brought new opportunities for nding and using electronic data, it has also brought to the forefront the problem of isolating useful ...
Robin D. Burke, Kristian J. Hammond, Benjamin C. Y...
AAAI
1996
15 years 8 months ago
Interactive Information Retrieval Systems with Minimalist Representation
Almost any information you might want is becoming available on-line. The problem is how to find what you need. One strategy to improve access to existing information sources, is i...
Eric A. Domeshek, Smadar Kedar, Andrew S. Gordon
NIPS
1993
15 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...
NIPS
1994
15 years 8 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...