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» Measuring Agent Intelligence via Hierarchies of Environments
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AAAI
2010
13 years 10 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
AAAI
2010
13 years 5 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
CIA
1999
Springer
14 years 1 months ago
A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents
Abstract. Evaluations of distances or similarity measurements are very important in cooperative problem solving with multiple agents. Distance between problems is used by agents to...
Seppo Puuronen, Vagan Y. Terziyan
AAAI
2008
13 years 11 months ago
Partially Synchronized DEC-MDPs in Dynamic Mechanism Design
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
Sven Seuken, Ruggiero Cavallo, David C. Parkes
SI3D
2009
ACM
14 years 3 months ago
Egocentric affordance fields in pedestrian steering
In this paper we propose a general framework for local pathplanning and steering that can be easily extended to perform highlevel behaviors. Our framework is based on the concept ...
Mubbasir Kapadia, Shawn Singh, William Hewlett, Pe...