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133
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IAT
2007
IEEE
15 years 10 months ago
Noise Tolerance in Reinforcement Learning Algorithms
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
140
Voted
ICCBR
2001
Springer
15 years 8 months ago
Incremental Case-Based Plan Recognition Using State Indices
We describe a case-based approach to the keyhole plan-recognition task where the observed agent is a state-space planner whose world states can be monitored. Case-based approach pr...
Boris Kerkez, Michael T. Cox
137
Voted
AAAI
2006
15 years 5 months ago
On the Difficulty of Achieving Equilibrium in Interactive POMDPs
We analyze the asymptotic behavior of agents engaged in an infinite horizon partially observable stochastic game as formalized by the interactive POMDP framework. We show that whe...
Prashant Doshi, Piotr J. Gmytrasiewicz
157
Voted
AAMAS
2007
Springer
15 years 10 months ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
ECAI
2006
Springer
15 years 7 months ago
Using Emotions for Behaviour-Selection Learning
Emotions play a very important role in human behaviour and social interaction. In this paper we present a control architecture which uses emotions in the behaviour selection proces...
Maria Malfaz, Miguel Angel Salichs