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» MDPs: Learning in Varying Environments
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OSDI
2002
ACM
14 years 10 months ago
FARSITE: Federated, Available, and Reliable Storage for an Incompletely Trusted Environment
Farsite is a secure, scalable file system that logically functions as a centralized file server but is physically distributed among a set of untrusted computers. Farsite provides ...
Atul Adya, William J. Bolosky, Miguel Castro, Gera...
EWRL
2008
13 years 11 months ago
Markov Decision Processes with Arbitrary Reward Processes
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Jia Yuan Yu, Shie Mannor, Nahum Shimkin
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 8 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 4 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
CEC
2007
IEEE
14 years 4 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...