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153
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ICMLA
2004
15 years 8 months ago
2004
In some environments, a learning agent must learn to balance competing objectives. For example, a Q-learner agent may need to learn which choices expose the agent to risk and whic...
149
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FLAIRS
2003
15 years 8 months ago
2003
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
180
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IJCAI
1997
15 years 8 months ago
1997
While the Belief, Desire, Intention (BDI) framework is one of the most influential and appealing approaches to rational agent architectures, a gulf often exists between the high-l...
182
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AAAI
1990
15 years 7 months ago
1990
We describe a robot control architecture which combines a stimulus-response subsystem for rapid reaction, with a search-based planner for handling unanticipated situations. The ro...
147
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AAMAS
2007
Springer
15 years 6 months ago
2007
Springer
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...