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» Learning Action Selection Network of Intelligent Agent
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IAT
2010
IEEE
15 years 1 months ago
Trustworthiness Tendency Incremental Extraction Using Information Gain
Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustwo...
Joana Urbano, Ana Paula Rocha, Eugenio Oliveira
ATAL
2008
Springer
15 years 5 months ago
Autonomous transfer for reinforcement learning
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
AAAI
2008
15 years 5 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
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ARGMAS
2005
Springer
15 years 9 months ago
Argumentation-Based Multi-agent Dialogues for Deliberation
This paper presents an argumentation-based approach to deliberation, the process by which two or more agents reach a consensus on a course of action. The kind of deliberation that ...
Yuqing Tang, Simon Parsons
ICANN
2001
Springer
15 years 8 months ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber