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» Programmable Reinforcement Learning Agents
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ECAI
2010
Springer
13 years 9 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ICML
2002
IEEE
14 years 9 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
ATAL
2007
Springer
14 years 2 months ago
Reinforcement learning with utility-aware agents for market-based resource allocation
Categories and Subject Descriptors Artificial Intelligence Distributed Artificial Intelligence General Terms Keywords
Eduardo Rodrigues Gomes, Ryszard Kowalczyk
CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 8 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee