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AAAI
1998
13 years 9 months ago
When Robots Weep: Emotional Memories and Decision-Making
We describe an agent architecture that integrates emotions, drives, and behaviors, and that focuses on modeling some of the aspects of emotions as fundamental components within th...
Juan D. Velásquez
ICCCI
2011
Springer
12 years 7 months ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon
TSMC
2002
105views more  TSMC 2002»
13 years 7 months ago
On the use of learning automata in the control of broadcast networks: a methodology
Due to its fixed assignment nature, the well-known time division multiple access (TDMA) protocol suffers from poor performance when the offered traffic is bursty. In this paper, an...
Georgios I. Papadimitriou, Mohammad S. Obaidat, An...
SCL
2010
102views more  SCL 2010»
13 years 6 months ago
Distributed control of triangular formations with angle-only constraints
—This paper considers the coupled formation control of three mobile agents moving in the plane. Each agent has only local inter-agent bearing knowledge and is required to maintai...
Meysam Basiri, Adrian N. Bishop, Patric Jensfelt
ATAL
2010
Springer
13 years 9 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone