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AAAI
2011
12 years 7 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
IEAAIE
2011
Springer
12 years 11 months ago
A Cognitive Agent Model Using Inverse Mirroring for False Attribution of Own Actions to Other Agents
This paper presents a cognitive agent model capable of showing situations where self-generated actions are attributed to other agents, as, for example, for patients suffering from ...
Jan Treur, Muhammad Umair
ATAL
2009
Springer
13 years 5 months ago
Learning to Locate Trading Partners in Agent Networks
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...
John Porter, Kuheli Chakraborty, Sandip Sen
AAAI
2010
13 years 8 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
AI
2004
Springer
13 years 7 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz