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ATAL
2010
Springer
15 years 7 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
ATAL
2010
Springer
15 years 7 months ago
Optimal social laws
Social laws have proved to be a powerful and theoretically elegant framework for coordination in multi-agent systems. Most existing models of social laws assume that a designer is...
Thomas Ågotnes, Michael Wooldridge
ATAL
2010
Springer
15 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2010
Springer
15 years 7 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
ATAL
2010
Springer
15 years 7 months ago
Coalition formation with spatial and temporal constraints
The coordination of emergency responders and robots to undertake a number of tasks in disaster scenarios is a grand challenge for multi-agent systems. Central to this endeavour is...
Sarvapali D. Ramchurn, Maria Polukarov, Alessandro...
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