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» Metric learning for reinforcement learning agents
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ICAART
2010
INSTICC
15 years 9 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
89
Voted
AAAI
1998
15 years 1 months ago
A Framework for Reinforcement Learning on Real Robots
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
William D. Smart, Leslie Pack Kaelbling
107
Voted
ICARCV
2006
IEEE
133views Robotics» more  ICARCV 2006»
15 years 6 months ago
Multi-Agent Reinforcement Learning: A Survey
Lucian Busoniu, Robert Babuska, Bart De Schutter
IJCAI
2001
15 years 1 months ago
Multi-Agent Systems by Incremental Gradient Reinforcement Learning
Alain Dutech, Olivier Buffet, François Char...
58
Voted
ICMAS
2000
15 years 1 months ago
Multi-Agent Reinforcement Learning for Planning and Scheduling Multiple Goals
Sachiyo Arai, Katia P. Sycara, Terry R. Payne